Some see the railway as transportation, while at Plasser American we see it as transformation. The story of how steel tracks turned the American promise into American progress and forged a trusted pathway to the possibilities of the future. It's a story that continues today, an American legacy unfolding mile by mile. There is a lot riding on those tracks and we know that support, quality and know-how are all important aspects in staying on track. That's why the Plasser American tradition begins with a promise. A promise to do things right. An unapologetic commitment to quality that makes us the longtime trusted leader in cutting edge American made innovations for the North American railway. It's a promise to see things differently to turn ordinary steel into safer passages. To be a partner that you can count on to engineer solutions for the challenges of today and for the opportunities of tomorrow. From research and design, expert manufacturing and delivering unapparelled services, our customers trust us to keep them ahead of the curve. Progress is about more than getting from Point A to Point B. It's knowing you have a trusted foundation to move you forward toward new possibilities waiting around the corner. Join Plasser American to become part of our team forging ahead towards new opportunities in railway maintenance. The railway is a path to the future, choose this path and apply today. Mid-to-Senior Project Manager Location: Chesapeake, VA Travel Requirement: Up to 25% (project site visits) Plasser American Corporation (PAC) is seeking a Mid-to-Senior Project Manager to lead and coordinate critical railroad equipment projects from manufacturing through commissioning and final handover. This role is ideal for someone with a solid foundation in engineering, a strong background in project management, and a desire to make a tangible impact on complex, high-stakes deliverables in the railroad industry. Key Responsibilities Lead the end-to-end project lifecycle-including planning, execution, commissioning, and handover-while maintaining rigorous documentation of project milestones and deliverables. Represent PAC in meetings with internal teams, customers, contractors, and senior management to align expectations, resolve issues, and communicate project progress. Oversee and coordinate the activities of project engineers and support staff, ensuring timely, on-budget delivery in accordance with contract scope and technical requirements. Monitor project risk, assess potential impacts, and take proactive measures to ensure execution remains on track. Review and manage project financials and delivery schedules across all engineering and manufacturing disciplines; communicate financial status and forecasts to management. Maintain consistent, professional communication with customers, vendors, and internal teams-strengthening stakeholder relationships across all functions. Ensure scope, schedule, and cost changes are controlled and documented, maintaining alignment with contractual obligations and funding. Conduct regular visits to active sites and partner facilities to supervise on-the-ground progress and resolve technical or procedural challenges. Maintain structured project documentation, including schedules, cost tracking, and change control records. Support root-cause analysis and assist in the development of technical solutions in collaboration with design, manufacturing, and service teams. Track and report project performance through timely updates, status summaries, and risk assessments for internal and external reporting. Ensure project adherence to company and industry quality standards, and safety, especially in relation to specialized rail equipment. Collaborate effectively with international teams located in Austria, India, Australia, and other global locations. Flexibility to attend meetings outside of standard business hours-including early mornings or late nights due to time zone differences-is required. Required Qualifications Bachelor's degree in Engineering, Project Management, or a related technical field preferred. Minimum 5 years of project management experience -preferably with heavy equipment or complex mechanical/rail systems. Strong working knowledge of the railroad industry and prior experience interfacing with class one railroad and transit is a significant advantage. PMP certification preferred (or willingness to obtain within 1 year of employment). Proven expertise with Microsoft Office Suite (Excel, Word, Project, PowerPoint, Visio, Teams). Experience with scheduling software (e.g., MS Project, Primavera, or equivalent). Strong organizational skills and attention to detail. Effective communicator with demonstrated leadership in cross-functional environments. Willingness and ability to travel domestically and internationally up to 25%. Benefits: Accrue 80 Hours of Paid Time Off during your first year of employment 10 Paid Holidays per year 401(k) match of $0.50 for every $1.00 you contribute up to 6% of your salary You may receive a merit bonus after completion of the audit at the end of the fiscal year Free Short and Long Term Disability after 90 days of employment Free Life Insurance - 2 times your annual salary Company Events Free employee medical and dental coverage. - valued at $7,500.00 About Plasser American: As part of the Plasser family brand, which is the largest Maintenance of Way equipment provider in the world, PAC is a rapidly growing provider of railway equipment in North America. Continuing for the next few years, PAC will continue to make significant investments in the North American Market including a new office building and a substantial addition to our manufacturing facility. PAC is making the needed investments to continue its growth trajectory for many years to come. The next several years will be an exciting time of transformation. We look to the future to enhance our team and achieve our goals. Compensation details: 00 Yearly Salary PIce3b1d0531c2-2412
07/29/2026
Full time
Some see the railway as transportation, while at Plasser American we see it as transformation. The story of how steel tracks turned the American promise into American progress and forged a trusted pathway to the possibilities of the future. It's a story that continues today, an American legacy unfolding mile by mile. There is a lot riding on those tracks and we know that support, quality and know-how are all important aspects in staying on track. That's why the Plasser American tradition begins with a promise. A promise to do things right. An unapologetic commitment to quality that makes us the longtime trusted leader in cutting edge American made innovations for the North American railway. It's a promise to see things differently to turn ordinary steel into safer passages. To be a partner that you can count on to engineer solutions for the challenges of today and for the opportunities of tomorrow. From research and design, expert manufacturing and delivering unapparelled services, our customers trust us to keep them ahead of the curve. Progress is about more than getting from Point A to Point B. It's knowing you have a trusted foundation to move you forward toward new possibilities waiting around the corner. Join Plasser American to become part of our team forging ahead towards new opportunities in railway maintenance. The railway is a path to the future, choose this path and apply today. Mid-to-Senior Project Manager Location: Chesapeake, VA Travel Requirement: Up to 25% (project site visits) Plasser American Corporation (PAC) is seeking a Mid-to-Senior Project Manager to lead and coordinate critical railroad equipment projects from manufacturing through commissioning and final handover. This role is ideal for someone with a solid foundation in engineering, a strong background in project management, and a desire to make a tangible impact on complex, high-stakes deliverables in the railroad industry. Key Responsibilities Lead the end-to-end project lifecycle-including planning, execution, commissioning, and handover-while maintaining rigorous documentation of project milestones and deliverables. Represent PAC in meetings with internal teams, customers, contractors, and senior management to align expectations, resolve issues, and communicate project progress. Oversee and coordinate the activities of project engineers and support staff, ensuring timely, on-budget delivery in accordance with contract scope and technical requirements. Monitor project risk, assess potential impacts, and take proactive measures to ensure execution remains on track. Review and manage project financials and delivery schedules across all engineering and manufacturing disciplines; communicate financial status and forecasts to management. Maintain consistent, professional communication with customers, vendors, and internal teams-strengthening stakeholder relationships across all functions. Ensure scope, schedule, and cost changes are controlled and documented, maintaining alignment with contractual obligations and funding. Conduct regular visits to active sites and partner facilities to supervise on-the-ground progress and resolve technical or procedural challenges. Maintain structured project documentation, including schedules, cost tracking, and change control records. Support root-cause analysis and assist in the development of technical solutions in collaboration with design, manufacturing, and service teams. Track and report project performance through timely updates, status summaries, and risk assessments for internal and external reporting. Ensure project adherence to company and industry quality standards, and safety, especially in relation to specialized rail equipment. Collaborate effectively with international teams located in Austria, India, Australia, and other global locations. Flexibility to attend meetings outside of standard business hours-including early mornings or late nights due to time zone differences-is required. Required Qualifications Bachelor's degree in Engineering, Project Management, or a related technical field preferred. Minimum 5 years of project management experience -preferably with heavy equipment or complex mechanical/rail systems. Strong working knowledge of the railroad industry and prior experience interfacing with class one railroad and transit is a significant advantage. PMP certification preferred (or willingness to obtain within 1 year of employment). Proven expertise with Microsoft Office Suite (Excel, Word, Project, PowerPoint, Visio, Teams). Experience with scheduling software (e.g., MS Project, Primavera, or equivalent). Strong organizational skills and attention to detail. Effective communicator with demonstrated leadership in cross-functional environments. Willingness and ability to travel domestically and internationally up to 25%. Benefits: Accrue 80 Hours of Paid Time Off during your first year of employment 10 Paid Holidays per year 401(k) match of $0.50 for every $1.00 you contribute up to 6% of your salary You may receive a merit bonus after completion of the audit at the end of the fiscal year Free Short and Long Term Disability after 90 days of employment Free Life Insurance - 2 times your annual salary Company Events Free employee medical and dental coverage. - valued at $7,500.00 About Plasser American: As part of the Plasser family brand, which is the largest Maintenance of Way equipment provider in the world, PAC is a rapidly growing provider of railway equipment in North America. Continuing for the next few years, PAC will continue to make significant investments in the North American Market including a new office building and a substantial addition to our manufacturing facility. PAC is making the needed investments to continue its growth trajectory for many years to come. The next several years will be an exciting time of transformation. We look to the future to enhance our team and achieve our goals. Compensation details: 00 Yearly Salary PIce3b1d0531c2-2412
Some see the railway as transportation, while at Plasser American we see it as transformation. The story of how steel tracks turned the American promise into American progress and forged a trusted pathway to the possibilities of the future. It's a story that continues today, an American legacy unfolding mile by mile. There is a lot riding on those tracks and we know that support, quality and know-how are all important aspects in staying on track. That's why the Plasser American tradition begins with a promise. A promise to do things right. An unapologetic commitment to quality that makes us the longtime trusted leader in cutting edge American made innovations for the North American railway. It's a promise to see things differently to turn ordinary steel into safer passages. To be a partner that you can count on to engineer solutions for the challenges of today and for the opportunities of tomorrow. From research and design, expert manufacturing and delivering unapparelled services, our customers trust us to keep them ahead of the curve. Progress is about more than getting from Point A to Point B. It's knowing you have a trusted foundation to move you forward toward new possibilities waiting around the corner. Join Plasser American to become part of our team forging ahead towards new opportunities in railway maintenance. The railway is a path to the future, choose this path and apply today. General Scope: Fluid Power Engineer to support Engineering group. Fluid power engineer applies fluid power theory and related knowledge to design, test and troubleshoot operational mobile hydraulic systems and applications. Position Summary: Applies knowledge of engineering principles to design products used on maintenance of way equipment for the railroad industry. Solid knowledge and understanding of fundamental and advanced Fluid power principles and ability to apply knowledge in the design of complex hydraulic/pneumatic circuits in an OEM environment. Complete fluid power systems experience with all levels of hydraulic/pneumatic components from pumps, motors, valves to actuators. Significant experience in mobile/construction equipment hydraulic/pneumatic system design, and development. Study, research and analyze customer specifications, manuals and other data to assist in creating machine work orders. Compiles and analyzes operational, test, and research data to establish performance standards for newly designed or modified equipment or product. Plans, schedules and coordinates the preparation of hydraulic/pneumatic projects to meet deadlines. Sizing and selecting hydraulic and pneumatic components and provide specifications to Planning/Purchasing department. Uses EPLAN Fluid for the automated design and documentation of circuits in fluid power installations in hydraulics, pneumatics, cooling and lubrication complying with current standards such as ISO 1219. Ability to systematically solve hydraulic/pneumatic related problems and perform root cause analysis. Supervise the detailed design and drafting of the hydraulic/pneumatic components and installation drawings with cad designers. Keeps informed of new methods and practices in system designs and components. Plans and develops experimental test programs. Analyzes test data and reports to determine if design meets functional and performance specifications. May require some traveling to customer job site to evaluate problems and report back to management with findings. Strong leadership and project management skills and self-starter. Good organizational skills, and ability to independently manage multiple and conflicting priorities. Ability to interact with various department and provide support to product line, purchasing, production, technical support and sales support. Supervisory Responsibilities: None. KNOWLEDGE, SKILLS AND ABILITIES (The knowledge, skills and attributes required for satisfactory job performance) Education: As a minimum require a Bachelor's Degree in an engineering field with at least 2-5 years of experience in the field of mobile hydraulic design. Experience to consist of relevant product design or development of hydraulic components or motion control systems. Certified fluid power hydraulic specialist (CFHPS), NFPA (National Fluid Power Association) or other fluid power organizations certificate is preferred. In addition to having the technical qualifications, a fluid power engineer must be a good team player with strong communication and problem-solving skills. The individual must be able to think practically and authoritatively, able to accommodate the company's deadlines, budget, and other resources to make informed decisions for their projects. Knowledge: Incumbent must have proficient knowledge in the following areas: Knowledge of Engineering. Skills: Incumbent must demonstrate or participate in internal/external training programs to obtain the following skills: Knowledge of the current ISO and ANSI (Y14) standards. Working knowledge of the metric system and geometric dimensioning and tolerance. Familiar with weldments, and machining operation. Ability to read, analyze, and interpret common scientific and technical journals, financial reports, and legal documents. Ability to respond to common inquiries or complaints from customers, regulatory agencies, or members of the business community. Ability to write articles for publication that conform to prescribed style and format. EIT certification will be considered as a PLUS. Motivated and self-starter with the ability to work under deadlines. Ability to apply mathematical concepts such as Calculus and modern Algebra. Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables. AREMA, AAR, S.A.E. membership helpful but not required. Applicable Technical Competencies: Incumbent must have working knowledge and demonstrated abilities utilizing mechanical knowledge: Specific applications combined with knowledge competencies are as follows: Rating Level: 1-5 (1= minimum 5= Maximum) Application Required Level of proficiency Preferred Level of proficiency Autodesk Vault Professional 2018 4 - Full Proficiency 5 - Expert Proficiency Inventor Professional 2018 4 - Full Proficiency 5 - Expert Proficiency AutoCAD 2018 4 - Full Proficiency 5 - Expert Proficiency Microsoft Outlook 3 - Working Proficiency 3 - Working Proficiency Design Review 3 - Working Proficiency 4 - Full Proficiency Microsoft Excel 4 - Full Proficiency 5 - Expert Proficiency Microsoft Word 4 - Full Proficiency 4 - Full Proficiency JIRA & Confluence 3 - Working Proficiency 4 - Full Proficiency E-PLAN 3 - Working Proficiency 4 - Full Proficiency Automation Studio 4 - Full Proficiency 5 - Expert Proficiency Personal Attributes: Incumbent must maintain strict confidentiality in performing the duties of a Fluid Power Engineer. The incumbent must also demonstrate the following personal attributes: Be honest and trustworthy Be respectful Possess cultural awareness and sensitivity Be flexible Demonstrate sound work ethics Benefits: Accrue 80 Hours of Paid Time Off during your first year of employment 10 Paid Holidays per year 401(k) match of $0.50 for every $1.00 you contribute up to 6% of your salary You may receive a merit bonus after completion of the audit at the end of the fiscal year Free Short and Long Term Disability after 90 days of employment Free Life Insurance - 2 times your annual salary Company Events Free employee medical and dental coverage. - valued at $7,500.00 As part of the Plasser family brand, which is the largest Maintenance of Way equipment provider in the world, PAC is a rapidly growing provider of railway equipment in North America. Continuing for the next few years, PAC will continue to make significant investments in the North American Market including a new office building and a substantial addition to our manufacturing facility. PAC is making the needed investments to continue its growth trajectory for many years to come. The next several years will be an exciting time of transformation. We look to the future to enhance our team and achieve our goals. Compensation details: 00 Yearly Salary PI2f86a7f9ec99-9453
07/29/2026
Full time
Some see the railway as transportation, while at Plasser American we see it as transformation. The story of how steel tracks turned the American promise into American progress and forged a trusted pathway to the possibilities of the future. It's a story that continues today, an American legacy unfolding mile by mile. There is a lot riding on those tracks and we know that support, quality and know-how are all important aspects in staying on track. That's why the Plasser American tradition begins with a promise. A promise to do things right. An unapologetic commitment to quality that makes us the longtime trusted leader in cutting edge American made innovations for the North American railway. It's a promise to see things differently to turn ordinary steel into safer passages. To be a partner that you can count on to engineer solutions for the challenges of today and for the opportunities of tomorrow. From research and design, expert manufacturing and delivering unapparelled services, our customers trust us to keep them ahead of the curve. Progress is about more than getting from Point A to Point B. It's knowing you have a trusted foundation to move you forward toward new possibilities waiting around the corner. Join Plasser American to become part of our team forging ahead towards new opportunities in railway maintenance. The railway is a path to the future, choose this path and apply today. General Scope: Fluid Power Engineer to support Engineering group. Fluid power engineer applies fluid power theory and related knowledge to design, test and troubleshoot operational mobile hydraulic systems and applications. Position Summary: Applies knowledge of engineering principles to design products used on maintenance of way equipment for the railroad industry. Solid knowledge and understanding of fundamental and advanced Fluid power principles and ability to apply knowledge in the design of complex hydraulic/pneumatic circuits in an OEM environment. Complete fluid power systems experience with all levels of hydraulic/pneumatic components from pumps, motors, valves to actuators. Significant experience in mobile/construction equipment hydraulic/pneumatic system design, and development. Study, research and analyze customer specifications, manuals and other data to assist in creating machine work orders. Compiles and analyzes operational, test, and research data to establish performance standards for newly designed or modified equipment or product. Plans, schedules and coordinates the preparation of hydraulic/pneumatic projects to meet deadlines. Sizing and selecting hydraulic and pneumatic components and provide specifications to Planning/Purchasing department. Uses EPLAN Fluid for the automated design and documentation of circuits in fluid power installations in hydraulics, pneumatics, cooling and lubrication complying with current standards such as ISO 1219. Ability to systematically solve hydraulic/pneumatic related problems and perform root cause analysis. Supervise the detailed design and drafting of the hydraulic/pneumatic components and installation drawings with cad designers. Keeps informed of new methods and practices in system designs and components. Plans and develops experimental test programs. Analyzes test data and reports to determine if design meets functional and performance specifications. May require some traveling to customer job site to evaluate problems and report back to management with findings. Strong leadership and project management skills and self-starter. Good organizational skills, and ability to independently manage multiple and conflicting priorities. Ability to interact with various department and provide support to product line, purchasing, production, technical support and sales support. Supervisory Responsibilities: None. KNOWLEDGE, SKILLS AND ABILITIES (The knowledge, skills and attributes required for satisfactory job performance) Education: As a minimum require a Bachelor's Degree in an engineering field with at least 2-5 years of experience in the field of mobile hydraulic design. Experience to consist of relevant product design or development of hydraulic components or motion control systems. Certified fluid power hydraulic specialist (CFHPS), NFPA (National Fluid Power Association) or other fluid power organizations certificate is preferred. In addition to having the technical qualifications, a fluid power engineer must be a good team player with strong communication and problem-solving skills. The individual must be able to think practically and authoritatively, able to accommodate the company's deadlines, budget, and other resources to make informed decisions for their projects. Knowledge: Incumbent must have proficient knowledge in the following areas: Knowledge of Engineering. Skills: Incumbent must demonstrate or participate in internal/external training programs to obtain the following skills: Knowledge of the current ISO and ANSI (Y14) standards. Working knowledge of the metric system and geometric dimensioning and tolerance. Familiar with weldments, and machining operation. Ability to read, analyze, and interpret common scientific and technical journals, financial reports, and legal documents. Ability to respond to common inquiries or complaints from customers, regulatory agencies, or members of the business community. Ability to write articles for publication that conform to prescribed style and format. EIT certification will be considered as a PLUS. Motivated and self-starter with the ability to work under deadlines. Ability to apply mathematical concepts such as Calculus and modern Algebra. Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables. AREMA, AAR, S.A.E. membership helpful but not required. Applicable Technical Competencies: Incumbent must have working knowledge and demonstrated abilities utilizing mechanical knowledge: Specific applications combined with knowledge competencies are as follows: Rating Level: 1-5 (1= minimum 5= Maximum) Application Required Level of proficiency Preferred Level of proficiency Autodesk Vault Professional 2018 4 - Full Proficiency 5 - Expert Proficiency Inventor Professional 2018 4 - Full Proficiency 5 - Expert Proficiency AutoCAD 2018 4 - Full Proficiency 5 - Expert Proficiency Microsoft Outlook 3 - Working Proficiency 3 - Working Proficiency Design Review 3 - Working Proficiency 4 - Full Proficiency Microsoft Excel 4 - Full Proficiency 5 - Expert Proficiency Microsoft Word 4 - Full Proficiency 4 - Full Proficiency JIRA & Confluence 3 - Working Proficiency 4 - Full Proficiency E-PLAN 3 - Working Proficiency 4 - Full Proficiency Automation Studio 4 - Full Proficiency 5 - Expert Proficiency Personal Attributes: Incumbent must maintain strict confidentiality in performing the duties of a Fluid Power Engineer. The incumbent must also demonstrate the following personal attributes: Be honest and trustworthy Be respectful Possess cultural awareness and sensitivity Be flexible Demonstrate sound work ethics Benefits: Accrue 80 Hours of Paid Time Off during your first year of employment 10 Paid Holidays per year 401(k) match of $0.50 for every $1.00 you contribute up to 6% of your salary You may receive a merit bonus after completion of the audit at the end of the fiscal year Free Short and Long Term Disability after 90 days of employment Free Life Insurance - 2 times your annual salary Company Events Free employee medical and dental coverage. - valued at $7,500.00 As part of the Plasser family brand, which is the largest Maintenance of Way equipment provider in the world, PAC is a rapidly growing provider of railway equipment in North America. Continuing for the next few years, PAC will continue to make significant investments in the North American Market including a new office building and a substantial addition to our manufacturing facility. PAC is making the needed investments to continue its growth trajectory for many years to come. The next several years will be an exciting time of transformation. We look to the future to enhance our team and achieve our goals. Compensation details: 00 Yearly Salary PI2f86a7f9ec99-9453
Some see the railway as transportation, while at Plasser American we see it as transformation. The story of how steel tracks turned the American promise into American progress and forged a trusted pathway to the possibilities of the future. It's a story that continues today, an American legacy unfolding mile by mile. There is a lot riding on those tracks and we know that support, quality and know-how are all important aspects in staying on track. That's why the Plasser American tradition begins with a promise. A promise to do things right. An unapologetic commitment to quality that makes us the longtime trusted leader in cutting edge American made innovations for the North American railway. It's a promise to see things differently to turn ordinary steel into safer passages. To be a partner that you can count on to engineer solutions for the challenges of today and for the opportunities of tomorrow. From research and design, expert manufacturing and delivering unapparelled services, our customers trust us to keep them ahead of the curve. Progress is about more than getting from Point A to Point B. It's knowing you have a trusted foundation to move you forward toward new possibilities waiting around the corner. Join Plasser American to become part of our team forging ahead towards new opportunities in railway maintenance. The railway is a path to the future, choose this path and apply today. Job Description Chief Operator Plasser American Plasser American is making the world a safer place by providing non-destructive testing services and products to the railroad industry. We are committed to our employees and provide many opportunities for training, development, and advancement. Our highly trained professionals go through rigorous training that exceeds industry standards. The Chief Operator's responsibility is for the overall execution of service operations in Rail Flaw Detection provided to the customers. Provide the highest quality performance to exceed the competitions service in every possible way, ensuring customer requirements are met as it may be stated on the contracts or agreements and build customer relationships based on respect, transparency and confidence. Chief Operator represents the company image as much as any other Team members. Chief Operator is also responsible for the safety of his Operator at all time, guiding proper attitude, behavior and communication skills to create an environment of trust and respect. SUMMARY OF POSITION: Plasser American is seeking a Chief Operator with demonstrated Ultrasonic Rail Testing experience to conduct railroad track inspection operations involving the use of measurement tools and systems, electronics troubleshooting, and computer operation. Position involves interpretation of railroad-published documents to derive train speed information; review and analysis of track ultrasonic data for reporting; and operating hi-rail commercial motor vehicles. This position includes some vehicle maintenance for hi-rail vehicles. The incumbent will also complete regular housekeeping duties for safety and sanitation purposes aboard Ultrasonic test vehicles. This position requires the incumbent to routinely be dispatched to inspection vehicles throughout the U.S. and maintain a professional appearance and demeanor as a representative of Plasser American. Responsibilities: Chief Operator reports directly to the Field Manager. In his absence, will report directly to other Field Manager in place or Manager of UT RFD Services as a last resort. Will remain well versed with a professional attitude towards colleagues, customers and general public reflecting a positive image for the company; Shall ensure that all railroad and highway safety as well as operating procedures are maintained and applied to the best of his capacity; Shall be accountable, professional, drive safety and quality as the number one priority; Shall be open to changes in the workplace and apply directives according to set standards established; Shall perform a high-quality test for all customers and consistently improve operation where indicated by subordinates; Adhere and execute instructions in reference books and customer playbooks; Shall partner with Operator maintains a high standard of maintenance, including cleanliness and 5S on trucks and high precision calibration of equipment at all times; Produce all necessary paperwork including but not limited to, daily reports, maintenance reports, trip reports, etc. Is the overall responsible of the vehicle and it's maintenance; Display his experience in Rail Flaw Detection testing; Improves fleet uptime to meet goals plans set by upper management; Ensures Logbooks, DOT papers including Time sheets are maintained; Ensure compliance with all DOT regulations including hours of serviced regulation. Will coach, train, protect and assist new employees, Training Chief Operators and Operators, in the wanted work environment established; Complete weekly expense reports, time sheets, inventory and general truck condition (repairs needed current and preventive); Chief Operator is responsible for the lodging location chosen and ensures truck is parked at same location. Qualifications Experience: Have at least 5 years of service in the RFD Industry, service management, or related leadership experience; 3 to 5 years' experience on class I railroads; Knowledge of Rail Flaw Detection testing practices; Excellent safety record within All class railroads, class I without exception; Knowledge in computer programs, RFD truck functionality, electrical and mechanical is a plus; Valid driver's license Class A or B preferred Respected from peers. Special Education: ASNT-1A Ultrasonic Levels I and II training successfully completed and valid; Excellent written and verbal communication skills with high level of attention to detail Minimum of a High school diploma or GED. Mechanical, electrical, troubleshooting knowledge preferred. Computer and Other Skills: Microsoft Office skills, including and not limited to Excel, Word, Microsoft Teams, Concur, and more; Ability to manage cost & adjust where necessary; Physical Requirements Lift and carry 50 lbs. a distance of at least 150 feet. Work in close quarters, under and about inspection vehicles. Work in inclement weather. Passing a federal pre-employment drug test is a requirement prior to performing duties in this position. Undergoing and passing a random drug and alcohol testing is a condition while performing duties in this position. Railroad regulations require that selected candidates must pass an e-RAILSAFE security background check, including financial status, and online safety exams in order to work on railroad properties (a requirement of this position). Wearing safety equipment (hard hat, steel-toe boots, protective vest, and protective eyeglasses) when working on railroad properties is also a requirement. Plasser American will provide all necessary safety equipment. Job Summary Field Operator - Rail Flaw Detection SUMMARY OF POSITION: Responsible for the proper operation of all flaw detection and detector car personnel Accurate testing to ensure reliability of rails and notifying customer of defects. Supervising/managing crew Rail Detector crew Maintaining a direct relationship with the customer. Internal Position Title Chief Operator/Railtester Employment Status Regular Full-time The ability to be employed in the United States Background Check Type Drug Screen Type Pre-Employment Drug and Random Alcohol and Drug (FRA) Benefit Highlights Job Type: Full-time Benefits: Accrue 80 Hours of Paid Time Off during your first year of employment 10 Paid Holidays per year 401(k) match of $0.50 for every $1.00 you contribute up to 6% of your salary You may receive a merit bonus after completion of the audit at the end of the fiscal year Tuition Reimbursement Free Short and Long Term Disability after 90 days of employment Free Life Insurance - 2 times your annual salary Company Events Free employee medical and dental coverage. - valued at $7,500.00 Willingness to travel 75% (Required) As part of the Plasser family brand, which is the largest Maintenance of Way equipment provider in the world, PAC is a rapidly growing provider of railway equipment in North America. Continuing for the next few years, PAC will continue to make significant investments in the North American Market including a new office building and a substantial addition to our manufacturing facility. PAC is making the needed investments to continue its growth trajectory for many years to come. The next several years will be an exciting time of transformation. We look to the future to enhance our team and achieve our goals. Compensation details: 30-38 Hourly Wage PI10bc45eb5-
07/29/2026
Full time
Some see the railway as transportation, while at Plasser American we see it as transformation. The story of how steel tracks turned the American promise into American progress and forged a trusted pathway to the possibilities of the future. It's a story that continues today, an American legacy unfolding mile by mile. There is a lot riding on those tracks and we know that support, quality and know-how are all important aspects in staying on track. That's why the Plasser American tradition begins with a promise. A promise to do things right. An unapologetic commitment to quality that makes us the longtime trusted leader in cutting edge American made innovations for the North American railway. It's a promise to see things differently to turn ordinary steel into safer passages. To be a partner that you can count on to engineer solutions for the challenges of today and for the opportunities of tomorrow. From research and design, expert manufacturing and delivering unapparelled services, our customers trust us to keep them ahead of the curve. Progress is about more than getting from Point A to Point B. It's knowing you have a trusted foundation to move you forward toward new possibilities waiting around the corner. Join Plasser American to become part of our team forging ahead towards new opportunities in railway maintenance. The railway is a path to the future, choose this path and apply today. Job Description Chief Operator Plasser American Plasser American is making the world a safer place by providing non-destructive testing services and products to the railroad industry. We are committed to our employees and provide many opportunities for training, development, and advancement. Our highly trained professionals go through rigorous training that exceeds industry standards. The Chief Operator's responsibility is for the overall execution of service operations in Rail Flaw Detection provided to the customers. Provide the highest quality performance to exceed the competitions service in every possible way, ensuring customer requirements are met as it may be stated on the contracts or agreements and build customer relationships based on respect, transparency and confidence. Chief Operator represents the company image as much as any other Team members. Chief Operator is also responsible for the safety of his Operator at all time, guiding proper attitude, behavior and communication skills to create an environment of trust and respect. SUMMARY OF POSITION: Plasser American is seeking a Chief Operator with demonstrated Ultrasonic Rail Testing experience to conduct railroad track inspection operations involving the use of measurement tools and systems, electronics troubleshooting, and computer operation. Position involves interpretation of railroad-published documents to derive train speed information; review and analysis of track ultrasonic data for reporting; and operating hi-rail commercial motor vehicles. This position includes some vehicle maintenance for hi-rail vehicles. The incumbent will also complete regular housekeeping duties for safety and sanitation purposes aboard Ultrasonic test vehicles. This position requires the incumbent to routinely be dispatched to inspection vehicles throughout the U.S. and maintain a professional appearance and demeanor as a representative of Plasser American. Responsibilities: Chief Operator reports directly to the Field Manager. In his absence, will report directly to other Field Manager in place or Manager of UT RFD Services as a last resort. Will remain well versed with a professional attitude towards colleagues, customers and general public reflecting a positive image for the company; Shall ensure that all railroad and highway safety as well as operating procedures are maintained and applied to the best of his capacity; Shall be accountable, professional, drive safety and quality as the number one priority; Shall be open to changes in the workplace and apply directives according to set standards established; Shall perform a high-quality test for all customers and consistently improve operation where indicated by subordinates; Adhere and execute instructions in reference books and customer playbooks; Shall partner with Operator maintains a high standard of maintenance, including cleanliness and 5S on trucks and high precision calibration of equipment at all times; Produce all necessary paperwork including but not limited to, daily reports, maintenance reports, trip reports, etc. Is the overall responsible of the vehicle and it's maintenance; Display his experience in Rail Flaw Detection testing; Improves fleet uptime to meet goals plans set by upper management; Ensures Logbooks, DOT papers including Time sheets are maintained; Ensure compliance with all DOT regulations including hours of serviced regulation. Will coach, train, protect and assist new employees, Training Chief Operators and Operators, in the wanted work environment established; Complete weekly expense reports, time sheets, inventory and general truck condition (repairs needed current and preventive); Chief Operator is responsible for the lodging location chosen and ensures truck is parked at same location. Qualifications Experience: Have at least 5 years of service in the RFD Industry, service management, or related leadership experience; 3 to 5 years' experience on class I railroads; Knowledge of Rail Flaw Detection testing practices; Excellent safety record within All class railroads, class I without exception; Knowledge in computer programs, RFD truck functionality, electrical and mechanical is a plus; Valid driver's license Class A or B preferred Respected from peers. Special Education: ASNT-1A Ultrasonic Levels I and II training successfully completed and valid; Excellent written and verbal communication skills with high level of attention to detail Minimum of a High school diploma or GED. Mechanical, electrical, troubleshooting knowledge preferred. Computer and Other Skills: Microsoft Office skills, including and not limited to Excel, Word, Microsoft Teams, Concur, and more; Ability to manage cost & adjust where necessary; Physical Requirements Lift and carry 50 lbs. a distance of at least 150 feet. Work in close quarters, under and about inspection vehicles. Work in inclement weather. Passing a federal pre-employment drug test is a requirement prior to performing duties in this position. Undergoing and passing a random drug and alcohol testing is a condition while performing duties in this position. Railroad regulations require that selected candidates must pass an e-RAILSAFE security background check, including financial status, and online safety exams in order to work on railroad properties (a requirement of this position). Wearing safety equipment (hard hat, steel-toe boots, protective vest, and protective eyeglasses) when working on railroad properties is also a requirement. Plasser American will provide all necessary safety equipment. Job Summary Field Operator - Rail Flaw Detection SUMMARY OF POSITION: Responsible for the proper operation of all flaw detection and detector car personnel Accurate testing to ensure reliability of rails and notifying customer of defects. Supervising/managing crew Rail Detector crew Maintaining a direct relationship with the customer. Internal Position Title Chief Operator/Railtester Employment Status Regular Full-time The ability to be employed in the United States Background Check Type Drug Screen Type Pre-Employment Drug and Random Alcohol and Drug (FRA) Benefit Highlights Job Type: Full-time Benefits: Accrue 80 Hours of Paid Time Off during your first year of employment 10 Paid Holidays per year 401(k) match of $0.50 for every $1.00 you contribute up to 6% of your salary You may receive a merit bonus after completion of the audit at the end of the fiscal year Tuition Reimbursement Free Short and Long Term Disability after 90 days of employment Free Life Insurance - 2 times your annual salary Company Events Free employee medical and dental coverage. - valued at $7,500.00 Willingness to travel 75% (Required) As part of the Plasser family brand, which is the largest Maintenance of Way equipment provider in the world, PAC is a rapidly growing provider of railway equipment in North America. Continuing for the next few years, PAC will continue to make significant investments in the North American Market including a new office building and a substantial addition to our manufacturing facility. PAC is making the needed investments to continue its growth trajectory for many years to come. The next several years will be an exciting time of transformation. We look to the future to enhance our team and achieve our goals. Compensation details: 30-38 Hourly Wage PI10bc45eb5-
GeoStabilization International (GSI), Access Limited, and RoadGuard together form a leading infrastructure solutions platform dedicated to protecting people and strengthening critical infrastructure across North America and New Zealand. GSI is the premier geohazard mitigation firm specializing in emergency slope stabilization, landslide repair, grouting, and micropiles through innovative design-build delivery. Access Limited brings over a century of steep-slope expertise and operates North America's largest fleet of spider excavators, delivering complex rockfall and geotechnical solutions in the most challenging environments. RoadGuard, founded in 2024, unites industry-leading roadway safety companies providing guardrail, bridge railing, highway signage, fencing, and specialty fabrication services. Across all our businesses, we are driven by innovation, extreme ownership, technical excellence, and a relentless commitment to measurable results that improve safety and infrastructure resilience. At this time, GeoStabilization International does not offer employment visa sponsorship. To be considered for this role, candidates must be currently authorized to work in the U.S. without sponsorship, now or in the future. We are unable to accept candidates on H-1B, OPT, CPT, TN, or other sponsored work authorization statuses. What we are looking for: The Operations Accounting Team at GeoStabilization International is hiring an experienced and detail-oriented accountant to support our project-based business operations. This role will focus on maintaining accurate job cost records, supporting project billing and revenue processes, and partnering with project managers to ensure financial accuracy across active jobs. You'll be a critical contributor within a growing team that plays a key role in connecting our accounting function to operations. Responsibilities: Maintain and reconcile job cost data including labor, materials, and subcontractor costs. Prepare accurate and timely project billings, ensuring alignment with contract terms. Support revenue recognition and cost forecasting by working closely with Project Managers. Assist in tracking change orders, margin projections, and cost-to-complete estimates. Ensure project financials are accurate, auditable, and compliant with accounting policy. Help improve project accounting processes and systems across the company. Serve as a partner to field teams, finance leadership, and cross-functional stakeholders. Minimum Qualifications Bachelor's degree in Accounting, Finance, or a related field. 2+ years of accounting experience (GL, cost, or project-based preferred). Proficient in Microsoft Excel. Strong attention to detail, time management, and critical thinking skills. Comfortable collaborating across teams, including operations and project leaders. Willingness to learn project accounting concepts such as WIP, change orders, and forecasting. Preferred Qualifications Experience in construction, engineering, or other project-driven industries. Familiarity with Viewpoint Vista ERP. Exposure to job costing, billing, or revenue recognition. Strong interest in growing into a business-partnering or forecasting role. US pay range for this role. $80,000 - $95,000 USD Soil Nail Holdings and its subsidiaries are equal opportunity employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
07/29/2026
Full time
GeoStabilization International (GSI), Access Limited, and RoadGuard together form a leading infrastructure solutions platform dedicated to protecting people and strengthening critical infrastructure across North America and New Zealand. GSI is the premier geohazard mitigation firm specializing in emergency slope stabilization, landslide repair, grouting, and micropiles through innovative design-build delivery. Access Limited brings over a century of steep-slope expertise and operates North America's largest fleet of spider excavators, delivering complex rockfall and geotechnical solutions in the most challenging environments. RoadGuard, founded in 2024, unites industry-leading roadway safety companies providing guardrail, bridge railing, highway signage, fencing, and specialty fabrication services. Across all our businesses, we are driven by innovation, extreme ownership, technical excellence, and a relentless commitment to measurable results that improve safety and infrastructure resilience. At this time, GeoStabilization International does not offer employment visa sponsorship. To be considered for this role, candidates must be currently authorized to work in the U.S. without sponsorship, now or in the future. We are unable to accept candidates on H-1B, OPT, CPT, TN, or other sponsored work authorization statuses. What we are looking for: The Operations Accounting Team at GeoStabilization International is hiring an experienced and detail-oriented accountant to support our project-based business operations. This role will focus on maintaining accurate job cost records, supporting project billing and revenue processes, and partnering with project managers to ensure financial accuracy across active jobs. You'll be a critical contributor within a growing team that plays a key role in connecting our accounting function to operations. Responsibilities: Maintain and reconcile job cost data including labor, materials, and subcontractor costs. Prepare accurate and timely project billings, ensuring alignment with contract terms. Support revenue recognition and cost forecasting by working closely with Project Managers. Assist in tracking change orders, margin projections, and cost-to-complete estimates. Ensure project financials are accurate, auditable, and compliant with accounting policy. Help improve project accounting processes and systems across the company. Serve as a partner to field teams, finance leadership, and cross-functional stakeholders. Minimum Qualifications Bachelor's degree in Accounting, Finance, or a related field. 2+ years of accounting experience (GL, cost, or project-based preferred). Proficient in Microsoft Excel. Strong attention to detail, time management, and critical thinking skills. Comfortable collaborating across teams, including operations and project leaders. Willingness to learn project accounting concepts such as WIP, change orders, and forecasting. Preferred Qualifications Experience in construction, engineering, or other project-driven industries. Familiarity with Viewpoint Vista ERP. Exposure to job costing, billing, or revenue recognition. Strong interest in growing into a business-partnering or forecasting role. US pay range for this role. $80,000 - $95,000 USD Soil Nail Holdings and its subsidiaries are equal opportunity employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
GeoStabilization International (GSI), Access Limited, and RoadGuard together form a leading infrastructure solutions platform dedicated to protecting people and strengthening critical infrastructure across North America and New Zealand. GSI is the premier geohazard mitigation firm specializing in emergency slope stabilization, landslide repair, grouting, and micropiles through innovative design-build delivery. Access Limited brings over a century of steep-slope expertise and operates North America's largest fleet of spider excavators, delivering complex rockfall and geotechnical solutions in the most challenging environments. RoadGuard, founded in 2024, unites industry-leading roadway safety companies providing guardrail, bridge railing, highway signage, fencing, and specialty fabrication services. Across all our businesses, we are driven by innovation, extreme ownership, technical excellence, and a relentless commitment to measurable results that improve safety and infrastructure resilience. The Role As a Senior Project Engineer, you will be a core contributor across the full lifecycle of geohazard mitigation projects - from concept through construction close-out. You will partner with senior engineers, project managers, and technical sales leaders to design economical, constructible, and defensible solutions for some of the most challenging slope stability and ground improvement problems in North America. This role is designed for engineers who want field credibility, client exposure, and increasing technical ownership, not just desk-based analysis. Benefits Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits 401(k) plan to help save for your future including company match In addition to 7 observed holidays, salaried team members have flexible paid time off Paid parental leave Engineering & Design Execution Develop and analyze geotechnical and structural solutions for slope stability, rockfall mitigation, ground improvement, difficult-access shoring, and foundations. Perform advanced engineering analyses including slope stability modeling, rockfall simulation, mechanical stabilization design, and foundation analysis. Prepare clear, defensible calculation packages suitable for peer review, permitting, and construction. Field Integration & Constructability Conduct site reconnaissance in steep, rugged terrain, including rope access and rappelling when required. Provide field engineering support, construction observation, QA/QC testing, quantity tracking, and as-built documentation. Translate design intent into practical execution - adjusting in real time as field conditions evolve. Project Development & Client Engagement Critically review plans and specifications; develop take-offs, estimates, and constructability input. Support proposals and bids in coordination with Project Management and Business Development teams. Communicate directly with clients, earning trust through technical clarity and responsiveness. Cross-Functional Leadership Partner across engineering, project management, operations, and sales to drive continuous improvement. Support internal research and development initiatives that advance GSI's technical edge. Represent GSI at industry events, conferences, and technical presentations. What Sets You Apart: we are not hiring for checkbox experience alone. We are looking for engineers who show trajectory. Required Qualifications B.S. in Civil Engineering 8+ years of relevant geotechnical or structural engineering experience. PE licensure required. Proficiency with Word, Excel, and AutoCAD. Familiarity with slope stability and limit equilibrium software. Ability to work in physically demanding environments and all weather conditions. Willingness to travel up to 30%. Comfortable working from field locations, truck-based setups, or home office as needed. Preferred Qualifications M.S. in Civil Engineering. Rocscience software experience preferred. GeoStabilization International, LLC. is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. This role will be in-office on a hybrid schedule. Employees will be expected to work in the Westminster, CO office 3 days per week on Tuesdays, Wednesdays, and Thursdays. The expected annual base salary range for this position in the Denver, CO area is $110,000 - $130,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential bonus or benefits. US pay range for this role. $110,000 - $130,000 USD Soil Nail Holdings and its subsidiaries are equal opportunity employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
07/29/2026
Full time
GeoStabilization International (GSI), Access Limited, and RoadGuard together form a leading infrastructure solutions platform dedicated to protecting people and strengthening critical infrastructure across North America and New Zealand. GSI is the premier geohazard mitigation firm specializing in emergency slope stabilization, landslide repair, grouting, and micropiles through innovative design-build delivery. Access Limited brings over a century of steep-slope expertise and operates North America's largest fleet of spider excavators, delivering complex rockfall and geotechnical solutions in the most challenging environments. RoadGuard, founded in 2024, unites industry-leading roadway safety companies providing guardrail, bridge railing, highway signage, fencing, and specialty fabrication services. Across all our businesses, we are driven by innovation, extreme ownership, technical excellence, and a relentless commitment to measurable results that improve safety and infrastructure resilience. The Role As a Senior Project Engineer, you will be a core contributor across the full lifecycle of geohazard mitigation projects - from concept through construction close-out. You will partner with senior engineers, project managers, and technical sales leaders to design economical, constructible, and defensible solutions for some of the most challenging slope stability and ground improvement problems in North America. This role is designed for engineers who want field credibility, client exposure, and increasing technical ownership, not just desk-based analysis. Benefits Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits 401(k) plan to help save for your future including company match In addition to 7 observed holidays, salaried team members have flexible paid time off Paid parental leave Engineering & Design Execution Develop and analyze geotechnical and structural solutions for slope stability, rockfall mitigation, ground improvement, difficult-access shoring, and foundations. Perform advanced engineering analyses including slope stability modeling, rockfall simulation, mechanical stabilization design, and foundation analysis. Prepare clear, defensible calculation packages suitable for peer review, permitting, and construction. Field Integration & Constructability Conduct site reconnaissance in steep, rugged terrain, including rope access and rappelling when required. Provide field engineering support, construction observation, QA/QC testing, quantity tracking, and as-built documentation. Translate design intent into practical execution - adjusting in real time as field conditions evolve. Project Development & Client Engagement Critically review plans and specifications; develop take-offs, estimates, and constructability input. Support proposals and bids in coordination with Project Management and Business Development teams. Communicate directly with clients, earning trust through technical clarity and responsiveness. Cross-Functional Leadership Partner across engineering, project management, operations, and sales to drive continuous improvement. Support internal research and development initiatives that advance GSI's technical edge. Represent GSI at industry events, conferences, and technical presentations. What Sets You Apart: we are not hiring for checkbox experience alone. We are looking for engineers who show trajectory. Required Qualifications B.S. in Civil Engineering 8+ years of relevant geotechnical or structural engineering experience. PE licensure required. Proficiency with Word, Excel, and AutoCAD. Familiarity with slope stability and limit equilibrium software. Ability to work in physically demanding environments and all weather conditions. Willingness to travel up to 30%. Comfortable working from field locations, truck-based setups, or home office as needed. Preferred Qualifications M.S. in Civil Engineering. Rocscience software experience preferred. GeoStabilization International, LLC. is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. This role will be in-office on a hybrid schedule. Employees will be expected to work in the Westminster, CO office 3 days per week on Tuesdays, Wednesdays, and Thursdays. The expected annual base salary range for this position in the Denver, CO area is $110,000 - $130,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential bonus or benefits. US pay range for this role. $110,000 - $130,000 USD Soil Nail Holdings and its subsidiaries are equal opportunity employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
GeoStabilization International
White Plains, New York
GeoStabilization International (GSI), Access Limited, and RoadGuard together form a leading infrastructure solutions platform dedicated to protecting people and strengthening critical infrastructure across North America and New Zealand. GSI is the premier geohazard mitigation firm specializing in emergency slope stabilization, landslide repair, grouting, and micropiles through innovative design-build delivery. Access Limited brings over a century of steep-slope expertise and operates North America's largest fleet of spider excavators, delivering complex rockfall and geotechnical solutions in the most challenging environments. RoadGuard, founded in 2024, unites industry-leading roadway safety companies providing guardrail, bridge railing, highway signage, fencing, and specialty fabrication services. Across all our businesses, we are driven by innovation, extreme ownership, technical excellence, and a relentless commitment to measurable results that improve safety and infrastructure resilience. At this time, GeoStabilization International does not offer employment visa sponsorship. To be considered for this role, candidates must be currently authorized to work in the U.S. without sponsorship, now or in the future. We are unable to accept candidates on H-1B, OPT, CPT, TN, or other sponsored work authorization statuses. About RoadGuard Founded in 2024 by GeoStabilization International, RoadGuard brings together eight industry-leading road safety companies dedicated to strengthening the nation's roadways. The team's combined expertise lies in crafting and implementing optimized solutions that prioritize the safety of individuals and improve infrastructure across the United States. RoadGuard's specialized services include guardrail/ guide rail installation, commercial fencing solutions, bridge railing services, highway signage, and specialty fabrication. About the Role The Senior Project Manager provides strategic leadership and oversight for high-impact projects and programs. This role leads cross-functional teams, manages complex project portfolios, and ensures successful delivery aligned with organizational goals. Serving as both a mentor to project managers and a strategic partner to leadership, the Sr. PM drives innovation, operational excellence, and continuous improvement across the project management function. Responsibilities: Provide strategic leadership for complex, high-value projects and programs, ensuring alignment with organizational priorities and performance goals. Oversee planning, scheduling, resource allocation, and execution across multiple concurrent projects to ensure delivery within scope, schedule, and budget. Partner with executive leadership to define priorities, manage project portfolios, and support long-range business objectives. Lead, mentor, and develop project managers and teams, driving accountability, collaboration, and continuous improvement in project delivery. Foster effective communication across internal departments, clients, and external partners to manage expectations and ensure alignment. Monitor performance metrics, identify and mitigate risks, and deliver clear executive-level reporting on progress and outcomes. Drive process improvement and change initiatives, standardizing tools, methodologies, and best practices that elevate project management performance. Qualifications: Bachelor's degree in construction project management, Civil Engineering, or related field; master's preferred. 3+ years of experience leading complex, multi-disciplinary, or strategic projects. PMP certification required; PMP preferred. Proven ability to lead cross-functional teams, manage competing priorities, and deliver results aligned with organizational goals. Strong communication, leadership, and analytical skills with a data-driven approach to decision-making. Proficient in modern project management tools and methodologies. Willingness to travel up to 40%. Compensation Range: the compensation range for a Project Manager 1 is listed as $66,000-84,000. More experienced candidates are welcome to apply, and can be hired into more senior PM jobs with higher compensation ranges. US pay range for this role. $66,000 - $84,000 USD Soil Nail Holdings and its subsidiaries are equal opportunity employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
07/29/2026
Full time
GeoStabilization International (GSI), Access Limited, and RoadGuard together form a leading infrastructure solutions platform dedicated to protecting people and strengthening critical infrastructure across North America and New Zealand. GSI is the premier geohazard mitigation firm specializing in emergency slope stabilization, landslide repair, grouting, and micropiles through innovative design-build delivery. Access Limited brings over a century of steep-slope expertise and operates North America's largest fleet of spider excavators, delivering complex rockfall and geotechnical solutions in the most challenging environments. RoadGuard, founded in 2024, unites industry-leading roadway safety companies providing guardrail, bridge railing, highway signage, fencing, and specialty fabrication services. Across all our businesses, we are driven by innovation, extreme ownership, technical excellence, and a relentless commitment to measurable results that improve safety and infrastructure resilience. At this time, GeoStabilization International does not offer employment visa sponsorship. To be considered for this role, candidates must be currently authorized to work in the U.S. without sponsorship, now or in the future. We are unable to accept candidates on H-1B, OPT, CPT, TN, or other sponsored work authorization statuses. About RoadGuard Founded in 2024 by GeoStabilization International, RoadGuard brings together eight industry-leading road safety companies dedicated to strengthening the nation's roadways. The team's combined expertise lies in crafting and implementing optimized solutions that prioritize the safety of individuals and improve infrastructure across the United States. RoadGuard's specialized services include guardrail/ guide rail installation, commercial fencing solutions, bridge railing services, highway signage, and specialty fabrication. About the Role The Senior Project Manager provides strategic leadership and oversight for high-impact projects and programs. This role leads cross-functional teams, manages complex project portfolios, and ensures successful delivery aligned with organizational goals. Serving as both a mentor to project managers and a strategic partner to leadership, the Sr. PM drives innovation, operational excellence, and continuous improvement across the project management function. Responsibilities: Provide strategic leadership for complex, high-value projects and programs, ensuring alignment with organizational priorities and performance goals. Oversee planning, scheduling, resource allocation, and execution across multiple concurrent projects to ensure delivery within scope, schedule, and budget. Partner with executive leadership to define priorities, manage project portfolios, and support long-range business objectives. Lead, mentor, and develop project managers and teams, driving accountability, collaboration, and continuous improvement in project delivery. Foster effective communication across internal departments, clients, and external partners to manage expectations and ensure alignment. Monitor performance metrics, identify and mitigate risks, and deliver clear executive-level reporting on progress and outcomes. Drive process improvement and change initiatives, standardizing tools, methodologies, and best practices that elevate project management performance. Qualifications: Bachelor's degree in construction project management, Civil Engineering, or related field; master's preferred. 3+ years of experience leading complex, multi-disciplinary, or strategic projects. PMP certification required; PMP preferred. Proven ability to lead cross-functional teams, manage competing priorities, and deliver results aligned with organizational goals. Strong communication, leadership, and analytical skills with a data-driven approach to decision-making. Proficient in modern project management tools and methodologies. Willingness to travel up to 40%. Compensation Range: the compensation range for a Project Manager 1 is listed as $66,000-84,000. More experienced candidates are welcome to apply, and can be hired into more senior PM jobs with higher compensation ranges. US pay range for this role. $66,000 - $84,000 USD Soil Nail Holdings and its subsidiaries are equal opportunity employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
Sr. Lead AI Engineer (GenAI Platform) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/29/2026
Full time
Sr. Lead AI Engineer (GenAI Platform) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Job Title: Principal M&A Solution Architect Current Need McKesson is looking for a Principal Solution Architect to join a key technical leadership role within the Enterprise M &A Engineerin g and Architecture team, to help accelerate our M&A initiatives across the Enterprise and drive trust, agility, and automation for McKe sson's technology services . This role will serve as a critical leadership position in shaping and executing McKesson's enterprise-wide technology strategy and primarily focused on Merger & Acquisition (M&A) integration. The Principal Solution Architect will operate at an architecture level, partnering with internal and external business and technology teams to define technological integration of roadmaps, establish architectural standards, and ensure seamless alignment with enterprise platforms. The role requires a combination of technical expertise in solution architecture, strong communication skills, collaborative mindset and leadership skills to engage with business units and technical stakeholders across the enterprise to drive broader impact. The ideal candidate will have a proven track record in designing and delivering network solutions, enabling business outcomes while ensuring adherence to security and compliance requirements. Job responsibilities Serve as the enterprise tech nology architecture authority for merger, acquisition, and divestiture activities, defining scalable integration strategies across acquired entities. Lead technical due diligence for M&A initiatives, assessing technology maturity, architecture posture, cloud presents, risks, and integration complexity. Define and execute M&A technology integration playbooks, including landing zone alignment, identity integration, security harmonization, and network modernization strategies. Drive consistency across multi-business-unit architectures, resolving complex cross-domain design challenges and influencing enterprise-wide policy decisions. Provide thought leadership on technology , M&A integration, and enterprise architecture trends; represent McKesson in strategic vendor and partner engagements. Define and govern enterprise technology solution patterns and reference architecture across cloud and hybrid environments, ensuring consistency, reusability, and alignment with long-term platform and security strategy. Shape and evolve enterprise technology architecture standards, security guardrails, and governance models; influence policy decisions and resolve complex design exceptions across business units. Conduct technical assessments and optimization reviews for existing and new technology deployments. Work closely with enterprise architecture, cloud platform operations, and governance teams to ensure seamless integration of solutions into each organization's technology environment. Mentor senior architects and engineers, raise the overall architecture maturity of the organization, and lead enablement efforts that institutionalize technology best practices. Minimum Requirements Degree or equivalent and typically requires 13+ years, with 8+ years, of direct work-related experience. Less years required if has relevant Master's or Doctorate qualifications Critical Skills/Experience : 12+ years of Solution Architecture and/or relevant industry experience. Expertise in Azure is required; experience with AWS or GCP is a plus. Bachelor's degree in computer science, engineering, or a related field or equivalent experience. Technical Expertise: Strong expertise in Microsoft Azure (required); multi-cloud experience (AWS, GCP , OCI ) strongly preferred. Strong knowledge of load balance, DNS, firewall , networking technologies, microservices architecture, and infrastructure-as-code ( IaC ) tools like Terraform. Strong architecture design and implementation experience with on-prem and hybrid cloud environments Proven experience in designing and deploying secure, scalable, and resilient solutions in large-scale cloud environments that are heavily regulated. Solid understanding of enterprise security, compliance, and governance frameworks. Experience with migration projects and hybrid cloud environments is a plus. Cloud certifications (e.g., Azure Solutions Architect Expert, AWS Certified Solutions Architect) are highly desirable. Strong communication and interpersonal skills with the ability to engage effectively with both technical and business stakeholders. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $175,700 - $292,800 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
07/28/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Job Title: Principal M&A Solution Architect Current Need McKesson is looking for a Principal Solution Architect to join a key technical leadership role within the Enterprise M &A Engineerin g and Architecture team, to help accelerate our M&A initiatives across the Enterprise and drive trust, agility, and automation for McKe sson's technology services . This role will serve as a critical leadership position in shaping and executing McKesson's enterprise-wide technology strategy and primarily focused on Merger & Acquisition (M&A) integration. The Principal Solution Architect will operate at an architecture level, partnering with internal and external business and technology teams to define technological integration of roadmaps, establish architectural standards, and ensure seamless alignment with enterprise platforms. The role requires a combination of technical expertise in solution architecture, strong communication skills, collaborative mindset and leadership skills to engage with business units and technical stakeholders across the enterprise to drive broader impact. The ideal candidate will have a proven track record in designing and delivering network solutions, enabling business outcomes while ensuring adherence to security and compliance requirements. Job responsibilities Serve as the enterprise tech nology architecture authority for merger, acquisition, and divestiture activities, defining scalable integration strategies across acquired entities. Lead technical due diligence for M&A initiatives, assessing technology maturity, architecture posture, cloud presents, risks, and integration complexity. Define and execute M&A technology integration playbooks, including landing zone alignment, identity integration, security harmonization, and network modernization strategies. Drive consistency across multi-business-unit architectures, resolving complex cross-domain design challenges and influencing enterprise-wide policy decisions. Provide thought leadership on technology , M&A integration, and enterprise architecture trends; represent McKesson in strategic vendor and partner engagements. Define and govern enterprise technology solution patterns and reference architecture across cloud and hybrid environments, ensuring consistency, reusability, and alignment with long-term platform and security strategy. Shape and evolve enterprise technology architecture standards, security guardrails, and governance models; influence policy decisions and resolve complex design exceptions across business units. Conduct technical assessments and optimization reviews for existing and new technology deployments. Work closely with enterprise architecture, cloud platform operations, and governance teams to ensure seamless integration of solutions into each organization's technology environment. Mentor senior architects and engineers, raise the overall architecture maturity of the organization, and lead enablement efforts that institutionalize technology best practices. Minimum Requirements Degree or equivalent and typically requires 13+ years, with 8+ years, of direct work-related experience. Less years required if has relevant Master's or Doctorate qualifications Critical Skills/Experience : 12+ years of Solution Architecture and/or relevant industry experience. Expertise in Azure is required; experience with AWS or GCP is a plus. Bachelor's degree in computer science, engineering, or a related field or equivalent experience. Technical Expertise: Strong expertise in Microsoft Azure (required); multi-cloud experience (AWS, GCP , OCI ) strongly preferred. Strong knowledge of load balance, DNS, firewall , networking technologies, microservices architecture, and infrastructure-as-code ( IaC ) tools like Terraform. Strong architecture design and implementation experience with on-prem and hybrid cloud environments Proven experience in designing and deploying secure, scalable, and resilient solutions in large-scale cloud environments that are heavily regulated. Solid understanding of enterprise security, compliance, and governance frameworks. Experience with migration projects and hybrid cloud environments is a plus. Cloud certifications (e.g., Azure Solutions Architect Expert, AWS Certified Solutions Architect) are highly desirable. Strong communication and interpersonal skills with the ability to engage effectively with both technical and business stakeholders. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $175,700 - $292,800 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
Some see the railway as transportation, while at Plasser American we see it as transformation. The story of how steel tracks turned the American promise into American progress and forged a trusted pathway to the possibilities of the future. It's a story that continues today, an American legacy unfolding mile by mile. There is a lot riding on those tracks and we know that support, quality and know-how are all important aspects in staying on track. That's why the Plasser American tradition begins with a promise. A promise to do things right. An unapologetic commitment to quality that makes us the longtime trusted leader in cutting edge American made innovations for the North American railway. It's a promise to see things differently to turn ordinary steel into safer passages. To be a partner that you can count on to engineer solutions for the challenges of today and for the opportunities of tomorrow. From research and design, expert manufacturing and delivering unapparelled services, our customers trust us to keep them ahead of the curve. Progress is about more than getting from Point A to Point B. It's knowing you have a trusted foundation to move you forward toward new possibilities waiting around the corner. Join Plasser American to become part of our team forging ahead towards new opportunities in railway maintenance. The railway is a path to the future, choose this path and apply today. Job Description Chief Operator Plasser American - Danbury, CT Plasser American is making the world a safer place by providing non-destructive testing services and products to the railroad industry. We are committed to our employees and provide many opportunities for training, development, and advancement. Our highly trained professionals go through rigorous training that exceeds industry standards. The Operator, "On the Road", position which requires extended travel including several months at a time without the possibility to go home and do make every effort to get our teams home whenever possible at a reasonable interval. Operators are considered to be a very important position to hold as he is responsible for the safe operation on rail and on road as well as the preventive, actual and post maintenance or repairs of the RFD vehicle. Operators work very closely and as a Team with the Chief Operator both responsible to minimize downtime and deliver the RFD service according to schedule. Operators represents the company image as much as any other Team members. We expect the team to act professionally and care for the image when servicing customers. Operator is also responsible for any identified safety events or obstacles at all time along with the Chief Operator. Operators attitude, behavior and communication skills must be to the highest standard to create an environment of trust and respect. RESPONSIBILITIES Operator reports directly to the Field Manager. In his absence, will report directly to other Field Manager in place or Manager of UT RFD Services as a last resort. The Operator will follow Chief Operator guidance while in operation. Operator will assist Chief Operator in marking the rail defects according to set standards; Will remain well versed with a professional attitude towards colleagues, customers and general public reflecting a positive image for the company; Shall ensure that all railroad and highway safety as well as operating procedures are maintained and applied to the best of his capacity; Shall be accountable, professional, drive safety and quality as the number one priority; Shall be open to changes in the workplace and apply directives according to set standards established; Adhere and execute instructions in reference books and customer playbooks; Shall partner with Chief Operator to maintain a high standard of maintenance, including cleanliness and 5S on trucks as much interior as exterior; Produce all necessary paperwork including but not limited to, elog reports, maintenance reports, trip reports, fuel reports, etc. Shall perform Pre and Post-trip maintenance every working day, to include carriage, hy-rail and truck. Regularly grease, lube, tighten bolts, replace worn parts under the supervision and directives of the Chief Operator; Will ensure validity of any IFTA Sticker registration and insurance and reports to Field manager as directed, Is the overall responsible of the vehicle and its maintenance; Ensures Logbooks, DOT papers including Timesheets are maintained; Ensure compliance with all DOT regulations including hours of serviced regulation. Will coach, train, protect and assist new employees, Operators, in the wanted work environment established; Maintain controlled expenses as low as possible; Complete weekly expense reports, timesheets, inventory and general truck condition (repairs needed current and preventive); Operator understand that truck is to be parked at same lodging location as the Chief Operator every night unless otherwise specified. Performs other job duties as assigned. EXPERIENCE Experience: Excellent safety record Knowledge in computer programs, electrical and mechanical is a plus; Valid driver's license Class A or B with Air Brake endorsement; Must continuously meet company & DOT Driving Standards Special Education: Excellent written and verbal communication skills with high level of attention to detail Minimum of a High school diploma or GED. Mechanical, electrical, troubleshooting knowledge preferred. Computer and Other Skills: Microsoft Office skills, including and not limited to Excel, Word, Microsoft Teams, Concur, and more; GENERAL REQUIREMENTS Extended travel capability Punctual Have all safety training valid for customers and eRail Safe Being able to travel to customers anywhere in North America (Valid Passport) No Criminal Records Communicate in English (written & spoken, French for Eastern Canada) CONDITIONS While performing the duties of this job, the employee frequently works near moving mechanical parts and is frequently exposed to dust, oil, grease, fumes or airborne particles. Although work is primarily done inside a testing vehicle the employee might frequently be required to be outside in any weather conditions. Must be able to lift and carry parts up to 75lbs. Willing to perform occasional mechanical tasks Must be able to negotiate varied ground conditions including uneven, unstable and steep grade conditions. Requires the use of hands and fingers to handle or feel objects, tools or controls. Must be capable of regularly climbing up to 10 feet. The employee is required to talk and hear. Normal correctable vision is required. Drug Screen Type Pre-Employment Drug and Random Alcohol and Drug (FRA) Benefit Highlights Job Type: Full-time Benefits: Accrue 80 Hours of Paid Time Off during your first year of employment 10 Paid Holidays per year 401(k) match of $0.50 for every $1.00 you contribute up to 6% of your salary You may receive a merit bonus after completion of the audit at the end of the fiscal year Tuition Reimbursement Free Short and Long Term Disability after 90 days of employment Free Life Insurance - 2 times your annual salary Company Events Free employee medical and dental coverage. - valued at $7,500.00 Willingness to travel 75% (Required) As part of the Plasser family brand, which is the largest Maintenance of Way equipment provider in the world, PAC is a rapidly growing provider of railway equipment in North America. Continuing for the next few years, PAC will continue to make significant investments in the North American Market including a new office building and a substantial addition to our manufacturing facility. PAC is making the needed investments to continue its growth trajectory for many years to come. The next several years will be an exciting time of transformation. We look to the future to enhance our team and achieve our goals. Compensation details: 23-25 Hourly Wage PI920eebba5-
07/28/2026
Full time
Some see the railway as transportation, while at Plasser American we see it as transformation. The story of how steel tracks turned the American promise into American progress and forged a trusted pathway to the possibilities of the future. It's a story that continues today, an American legacy unfolding mile by mile. There is a lot riding on those tracks and we know that support, quality and know-how are all important aspects in staying on track. That's why the Plasser American tradition begins with a promise. A promise to do things right. An unapologetic commitment to quality that makes us the longtime trusted leader in cutting edge American made innovations for the North American railway. It's a promise to see things differently to turn ordinary steel into safer passages. To be a partner that you can count on to engineer solutions for the challenges of today and for the opportunities of tomorrow. From research and design, expert manufacturing and delivering unapparelled services, our customers trust us to keep them ahead of the curve. Progress is about more than getting from Point A to Point B. It's knowing you have a trusted foundation to move you forward toward new possibilities waiting around the corner. Join Plasser American to become part of our team forging ahead towards new opportunities in railway maintenance. The railway is a path to the future, choose this path and apply today. Job Description Chief Operator Plasser American - Danbury, CT Plasser American is making the world a safer place by providing non-destructive testing services and products to the railroad industry. We are committed to our employees and provide many opportunities for training, development, and advancement. Our highly trained professionals go through rigorous training that exceeds industry standards. The Operator, "On the Road", position which requires extended travel including several months at a time without the possibility to go home and do make every effort to get our teams home whenever possible at a reasonable interval. Operators are considered to be a very important position to hold as he is responsible for the safe operation on rail and on road as well as the preventive, actual and post maintenance or repairs of the RFD vehicle. Operators work very closely and as a Team with the Chief Operator both responsible to minimize downtime and deliver the RFD service according to schedule. Operators represents the company image as much as any other Team members. We expect the team to act professionally and care for the image when servicing customers. Operator is also responsible for any identified safety events or obstacles at all time along with the Chief Operator. Operators attitude, behavior and communication skills must be to the highest standard to create an environment of trust and respect. RESPONSIBILITIES Operator reports directly to the Field Manager. In his absence, will report directly to other Field Manager in place or Manager of UT RFD Services as a last resort. The Operator will follow Chief Operator guidance while in operation. Operator will assist Chief Operator in marking the rail defects according to set standards; Will remain well versed with a professional attitude towards colleagues, customers and general public reflecting a positive image for the company; Shall ensure that all railroad and highway safety as well as operating procedures are maintained and applied to the best of his capacity; Shall be accountable, professional, drive safety and quality as the number one priority; Shall be open to changes in the workplace and apply directives according to set standards established; Adhere and execute instructions in reference books and customer playbooks; Shall partner with Chief Operator to maintain a high standard of maintenance, including cleanliness and 5S on trucks as much interior as exterior; Produce all necessary paperwork including but not limited to, elog reports, maintenance reports, trip reports, fuel reports, etc. Shall perform Pre and Post-trip maintenance every working day, to include carriage, hy-rail and truck. Regularly grease, lube, tighten bolts, replace worn parts under the supervision and directives of the Chief Operator; Will ensure validity of any IFTA Sticker registration and insurance and reports to Field manager as directed, Is the overall responsible of the vehicle and its maintenance; Ensures Logbooks, DOT papers including Timesheets are maintained; Ensure compliance with all DOT regulations including hours of serviced regulation. Will coach, train, protect and assist new employees, Operators, in the wanted work environment established; Maintain controlled expenses as low as possible; Complete weekly expense reports, timesheets, inventory and general truck condition (repairs needed current and preventive); Operator understand that truck is to be parked at same lodging location as the Chief Operator every night unless otherwise specified. Performs other job duties as assigned. EXPERIENCE Experience: Excellent safety record Knowledge in computer programs, electrical and mechanical is a plus; Valid driver's license Class A or B with Air Brake endorsement; Must continuously meet company & DOT Driving Standards Special Education: Excellent written and verbal communication skills with high level of attention to detail Minimum of a High school diploma or GED. Mechanical, electrical, troubleshooting knowledge preferred. Computer and Other Skills: Microsoft Office skills, including and not limited to Excel, Word, Microsoft Teams, Concur, and more; GENERAL REQUIREMENTS Extended travel capability Punctual Have all safety training valid for customers and eRail Safe Being able to travel to customers anywhere in North America (Valid Passport) No Criminal Records Communicate in English (written & spoken, French for Eastern Canada) CONDITIONS While performing the duties of this job, the employee frequently works near moving mechanical parts and is frequently exposed to dust, oil, grease, fumes or airborne particles. Although work is primarily done inside a testing vehicle the employee might frequently be required to be outside in any weather conditions. Must be able to lift and carry parts up to 75lbs. Willing to perform occasional mechanical tasks Must be able to negotiate varied ground conditions including uneven, unstable and steep grade conditions. Requires the use of hands and fingers to handle or feel objects, tools or controls. Must be capable of regularly climbing up to 10 feet. The employee is required to talk and hear. Normal correctable vision is required. Drug Screen Type Pre-Employment Drug and Random Alcohol and Drug (FRA) Benefit Highlights Job Type: Full-time Benefits: Accrue 80 Hours of Paid Time Off during your first year of employment 10 Paid Holidays per year 401(k) match of $0.50 for every $1.00 you contribute up to 6% of your salary You may receive a merit bonus after completion of the audit at the end of the fiscal year Tuition Reimbursement Free Short and Long Term Disability after 90 days of employment Free Life Insurance - 2 times your annual salary Company Events Free employee medical and dental coverage. - valued at $7,500.00 Willingness to travel 75% (Required) As part of the Plasser family brand, which is the largest Maintenance of Way equipment provider in the world, PAC is a rapidly growing provider of railway equipment in North America. Continuing for the next few years, PAC will continue to make significant investments in the North American Market including a new office building and a substantial addition to our manufacturing facility. PAC is making the needed investments to continue its growth trajectory for many years to come. The next several years will be an exciting time of transformation. We look to the future to enhance our team and achieve our goals. Compensation details: 23-25 Hourly Wage PI920eebba5-
Senior Lead AI Engineer (FM Hosting, LLM Inference) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Senior Lead AI Engineer (FM Hosting, LLM Inference) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Senior Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Senior Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Sr. Lead AI Engineer (AI Foundations) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Sr. Lead AI Engineer (AI Foundations) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Lead AI Engineer, Gen AI Platform Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $209,000 - $238,500 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Senior Lead AI Engineer, Gen AI Platform Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $209,000 - $238,500 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Sr. Lead AI Engineer (Gen AI Platform Services) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Sr. Lead AI Engineer (Gen AI Platform Services) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Sr. Lead AI Engineer (AI Foundations) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Sr. Lead AI Engineer (AI Foundations) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Lead AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Richmond, VA: $179,400 - $204,700 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Lead AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Richmond, VA: $179,400 - $204,700 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Senior Lead AI Engineer (LLM Gateway, FM Hosting) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Senior Lead AI Engineer (LLM Gateway, FM Hosting) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
