RELOCATION ASSISTANCE: Relocation assistance may be availableCLEARANCE TYPE: SecretTRAVEL: Yes, 25% of the TimeDescriptionAt Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. At the heart of who we are, Northrop Grumman is an American manufacturing company building the next generation of innovation for the United States and its allies. Our state-of-the-art manufacturing facility located in Waynesboro, VA will deliver advanced radars, communications antennas, and electronic warfare capabilities. Slated to open in 2026, we are adding hundreds of high-quality jobs in the heart of Virginia. Together, we will work to deliver the world's most advanced technologies to protect our national security. We are looking for you to join our team as a Manager 2, Industrial Automation and Controls Engineering based out of Waynesboro, Virginia. We are seeking an Industrial Automation and Controls Engineering Manager to spearhead the development of advanced industrial automation systems at our Central Virginia manufacturing facilities. This pivotal role blends technical leadership with management, focusing on building a new team of engineers to oversee the installation of a new robotic line, maintain operational efficiency, and drive programming updates that enhance the affordability of current and future products. What You'll Get to Do: As a hands-on leader, you will oversee the planning and deployment of robotic systems, leveraging strong architecture and system design skills. Your responsibilities include recruiting and developing a high-performing team, ensuring seamless integration of automation technologies, and identifying cost-saving opportunities. Collaboration with Product, Hardware, and Software teams is essential to deliver robust, scalable solutions. You will track key performance indicators related to automation efficiency and provide updates on project progress to senior management. Key Responsibilities: Establish a competent team of automation engineers to support factory acceptance testing, tooling and end-effector design, automation programming, SCADA system architecture and data capture and analysis. Coordinate/Lead the execution of industrial automation projects using systems engineering and program management best practices to achieve successful project outcomes. Maintain team affordability and effectiveness, ensuring resources are aligned to meet technical and financial goals while promoting employee development and performance assessment. We are looking for candidates who thrive in a fast-paced, dynamic environment, possess excellent communication skills, and have a passion for innovation and teamwork. Travel will be less than 25% and will decrease after the first 12-18 months. Basic Qualifications for the Manager 2: Bachelor's Degree or higher in a STEM area and a minimum of 9 years of relevant experience in manufacturing, electrical or automation engineering; candidates who also have a Master's degree qualify with a minimum of 7 years of relevant experience in manufacturing, electrical or automation engineering. 5 or more years of experience in industrial automation and controls, with at least 1 year in a leadership role within that discipline Experience in project management and communication tools Experience with MS office and programming skills in C++, Python, or similar languages Experience in automation systems and experience in production environments Ability to obtain and maintain a US Secret level security clearance US Citizenship is required. Preferred Qualifications for the Manager 2: Bachelor's Degree in electrical, mechanical, or automation engineering Experience with SCADA system architecture, Siemens PLCs, and FANUC automation solutions Six Sigma certification and proficiency in applied statistics Demonstrated experience using artificial intelligence to accelerate effective process development What We Can Offer You: Northrop Grumman provides a comprehensive benefits package and a work environment which encourages your growth and supports the mutual success of our people and our company. Northrop Grumman benefits give you the flexibility and control to choose the benefits that make the most sense for you and your family. Your benefits will include the following: Health Plan, Savings Plan, Paid Time Off and Additional Benefits including Education Assistance, Training and Development, 9/80 Work Schedule (where available), and much more! Primary Level Salary Range: $111,700.00 - $167,500.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
01/09/2026
Full time
RELOCATION ASSISTANCE: Relocation assistance may be availableCLEARANCE TYPE: SecretTRAVEL: Yes, 25% of the TimeDescriptionAt Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. At the heart of who we are, Northrop Grumman is an American manufacturing company building the next generation of innovation for the United States and its allies. Our state-of-the-art manufacturing facility located in Waynesboro, VA will deliver advanced radars, communications antennas, and electronic warfare capabilities. Slated to open in 2026, we are adding hundreds of high-quality jobs in the heart of Virginia. Together, we will work to deliver the world's most advanced technologies to protect our national security. We are looking for you to join our team as a Manager 2, Industrial Automation and Controls Engineering based out of Waynesboro, Virginia. We are seeking an Industrial Automation and Controls Engineering Manager to spearhead the development of advanced industrial automation systems at our Central Virginia manufacturing facilities. This pivotal role blends technical leadership with management, focusing on building a new team of engineers to oversee the installation of a new robotic line, maintain operational efficiency, and drive programming updates that enhance the affordability of current and future products. What You'll Get to Do: As a hands-on leader, you will oversee the planning and deployment of robotic systems, leveraging strong architecture and system design skills. Your responsibilities include recruiting and developing a high-performing team, ensuring seamless integration of automation technologies, and identifying cost-saving opportunities. Collaboration with Product, Hardware, and Software teams is essential to deliver robust, scalable solutions. You will track key performance indicators related to automation efficiency and provide updates on project progress to senior management. Key Responsibilities: Establish a competent team of automation engineers to support factory acceptance testing, tooling and end-effector design, automation programming, SCADA system architecture and data capture and analysis. Coordinate/Lead the execution of industrial automation projects using systems engineering and program management best practices to achieve successful project outcomes. Maintain team affordability and effectiveness, ensuring resources are aligned to meet technical and financial goals while promoting employee development and performance assessment. We are looking for candidates who thrive in a fast-paced, dynamic environment, possess excellent communication skills, and have a passion for innovation and teamwork. Travel will be less than 25% and will decrease after the first 12-18 months. Basic Qualifications for the Manager 2: Bachelor's Degree or higher in a STEM area and a minimum of 9 years of relevant experience in manufacturing, electrical or automation engineering; candidates who also have a Master's degree qualify with a minimum of 7 years of relevant experience in manufacturing, electrical or automation engineering. 5 or more years of experience in industrial automation and controls, with at least 1 year in a leadership role within that discipline Experience in project management and communication tools Experience with MS office and programming skills in C++, Python, or similar languages Experience in automation systems and experience in production environments Ability to obtain and maintain a US Secret level security clearance US Citizenship is required. Preferred Qualifications for the Manager 2: Bachelor's Degree in electrical, mechanical, or automation engineering Experience with SCADA system architecture, Siemens PLCs, and FANUC automation solutions Six Sigma certification and proficiency in applied statistics Demonstrated experience using artificial intelligence to accelerate effective process development What We Can Offer You: Northrop Grumman provides a comprehensive benefits package and a work environment which encourages your growth and supports the mutual success of our people and our company. Northrop Grumman benefits give you the flexibility and control to choose the benefits that make the most sense for you and your family. Your benefits will include the following: Health Plan, Savings Plan, Paid Time Off and Additional Benefits including Education Assistance, Training and Development, 9/80 Work Schedule (where available), and much more! Primary Level Salary Range: $111,700.00 - $167,500.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
Bowhead / UIC Technical Services
Dahlgren, Virginia
Overview SENIOR LINUX ARCHITECT (CORPIT) Bowhead seeks a Senior Linux Architect to lead the engineering and architecture of our enterprise RDT&E solutions centered around Red Hat Satellite and Ansible orchestration, critical to our Comply to Connect (C2C) initiative in Dahlgren, VA. The Senior Linux Architect will design and implement Red Hat Satellite and Ansible solutions, develop Ansible playbooks for automation, ensure compliance with relevant standards, and provide expert-level troubleshooting for the entire NSWCDD Command. Responsibilities Manage and oversee Engineers on the following: Utilize Red Hat Enterprise Linux system administration experience to provide technical problem solving and in-depth consulting relative to system operations Automate installation methods and system imaging (e.g. Kickstart/Ansible) Use cryptographic experience to set up public key infrastructure (PKI) to create, manage, distribute, use, store, and revoke digital certificates and manage public-key encryption DISA STIG implementation and work within Configuration-Managed Environments Analyze, design, and implement modifications to system software to improve and enhance system performance by correcting errors Plan new hardware acquisitions, interact with vendors, educate customers, and collaborate with other projects within the organization Work closely with engineers to help them use workstations and servers to solve their computationally intensive problems Support application installation, license management, software tracking / distribution and backup/recovery of system configurations and user data files Understand and use essential tools for handling files, directories, command-line environments, and documentation Operate running systems, including booting into different run levels, identifying processes, starting and stopping virtual machines, and controlling services Configure local storage using partitions and logical volumes Create and configure file systems and file system attributes, such as permissions, encryption, access control lists, and network file systems Deploy, configure, and maintain systems, including software installation, update, and core services Manage users and groups, including use of a centralized directory for authentication Manage security, including basic firewall and SELinux configuration Configure static routes, packet filtering, and network address translation Set kernel runtime parameters Produce and deliver reports on system utilization Use shell scripting to automate system maintenance tasks Configuring system logging, including remote logging Configure a system to provide networking services, including HTTP/HTTPS, DNS, SMTP, SSH and NTP Qualifications Minimum ten or more years (10+) of experience in system administration of Linux-based servers and Linux-based workstations High School Diploma required; Bachelros degree preferred Must have either the Red Hat Certified System Administrator (RHCSA) or Red Hat Certified Engineer (RHCE) certification Must meet DoD 8570 Information Assurance Workforce (IAWF) criteria or Information Assurance Technical (IAT) Level II certification at time of hire (i.e., Security+). Ideal Linux Architect will have troubleshooting skills in RHEL 7/8/9 OS and basic knowledge of Networking fundamentals, specifically TCP/IP protocol suite and IP configuration In addition, working knowledge of security guidelines and polices (DISA STIGs) and tools (Evaluate-STIG, STIG-Manager) Knowledge of / experience with Tenable suite of products (Security Center, Nessus Scanner, Nessus Agent) is a plus Seeking specific experience with the following operating systems and services is required: Red Hat Enterprise Linux (RHEL 8.x with RHEL 7.x and/or RHEL9.x a plus) Have knowledge of corporate services including: DNS, SMTP, Splunk, Centralized patching solutions such as Red Hat Satellite, Automation solutions such as Ansible Tower / AWX Knowledge of / experience with: Single Sign on solutions such as RHSSO; Virtualization platform management systems such as VMWare / VSphere / Vcenter is a plus Demonstrated experience managing the installation and maintenance of IT infrastructure Experience working in an environment with rapidly changing job priorities Experience with Service Now or similar Ticket Management system Physical Demands: Must be able to lift up to 10-15 pounds Must be able to stand and walk for prolonged amounts of time Must be able to twist, bend and squat periodically SECURITY CLEARANCE REQUIREMENTS: Must be able to obtain and maintain a security clearance at the Top Secret level. US Citizenship is a requirement for this contract.
01/09/2026
Full time
Overview SENIOR LINUX ARCHITECT (CORPIT) Bowhead seeks a Senior Linux Architect to lead the engineering and architecture of our enterprise RDT&E solutions centered around Red Hat Satellite and Ansible orchestration, critical to our Comply to Connect (C2C) initiative in Dahlgren, VA. The Senior Linux Architect will design and implement Red Hat Satellite and Ansible solutions, develop Ansible playbooks for automation, ensure compliance with relevant standards, and provide expert-level troubleshooting for the entire NSWCDD Command. Responsibilities Manage and oversee Engineers on the following: Utilize Red Hat Enterprise Linux system administration experience to provide technical problem solving and in-depth consulting relative to system operations Automate installation methods and system imaging (e.g. Kickstart/Ansible) Use cryptographic experience to set up public key infrastructure (PKI) to create, manage, distribute, use, store, and revoke digital certificates and manage public-key encryption DISA STIG implementation and work within Configuration-Managed Environments Analyze, design, and implement modifications to system software to improve and enhance system performance by correcting errors Plan new hardware acquisitions, interact with vendors, educate customers, and collaborate with other projects within the organization Work closely with engineers to help them use workstations and servers to solve their computationally intensive problems Support application installation, license management, software tracking / distribution and backup/recovery of system configurations and user data files Understand and use essential tools for handling files, directories, command-line environments, and documentation Operate running systems, including booting into different run levels, identifying processes, starting and stopping virtual machines, and controlling services Configure local storage using partitions and logical volumes Create and configure file systems and file system attributes, such as permissions, encryption, access control lists, and network file systems Deploy, configure, and maintain systems, including software installation, update, and core services Manage users and groups, including use of a centralized directory for authentication Manage security, including basic firewall and SELinux configuration Configure static routes, packet filtering, and network address translation Set kernel runtime parameters Produce and deliver reports on system utilization Use shell scripting to automate system maintenance tasks Configuring system logging, including remote logging Configure a system to provide networking services, including HTTP/HTTPS, DNS, SMTP, SSH and NTP Qualifications Minimum ten or more years (10+) of experience in system administration of Linux-based servers and Linux-based workstations High School Diploma required; Bachelros degree preferred Must have either the Red Hat Certified System Administrator (RHCSA) or Red Hat Certified Engineer (RHCE) certification Must meet DoD 8570 Information Assurance Workforce (IAWF) criteria or Information Assurance Technical (IAT) Level II certification at time of hire (i.e., Security+). Ideal Linux Architect will have troubleshooting skills in RHEL 7/8/9 OS and basic knowledge of Networking fundamentals, specifically TCP/IP protocol suite and IP configuration In addition, working knowledge of security guidelines and polices (DISA STIGs) and tools (Evaluate-STIG, STIG-Manager) Knowledge of / experience with Tenable suite of products (Security Center, Nessus Scanner, Nessus Agent) is a plus Seeking specific experience with the following operating systems and services is required: Red Hat Enterprise Linux (RHEL 8.x with RHEL 7.x and/or RHEL9.x a plus) Have knowledge of corporate services including: DNS, SMTP, Splunk, Centralized patching solutions such as Red Hat Satellite, Automation solutions such as Ansible Tower / AWX Knowledge of / experience with: Single Sign on solutions such as RHSSO; Virtualization platform management systems such as VMWare / VSphere / Vcenter is a plus Demonstrated experience managing the installation and maintenance of IT infrastructure Experience working in an environment with rapidly changing job priorities Experience with Service Now or similar Ticket Management system Physical Demands: Must be able to lift up to 10-15 pounds Must be able to stand and walk for prolonged amounts of time Must be able to twist, bend and squat periodically SECURITY CLEARANCE REQUIREMENTS: Must be able to obtain and maintain a security clearance at the Top Secret level. US Citizenship is a requirement for this contract.
Assistant Director - Special Facilities Management Job ID: 14653 Location: El Paso, TX Full/Part Time: Full Time Regular/Temporary: Regular Why Pick UTEP About the University of Texas at El Paso UTEP is a comprehensive public research university that is increasing access to excellent higher education. We advance discovery of public value and positively impact the health, culture, education, and economy of the community we serve. The University of Texas at El Paso is America's leading Hispanic-serving university. Located at the westernmost tip of Texas, where three states and two countries converge along the Rio Grande, 84% of our 24,000 students are Hispanic, and more than half are the first in their families to go to college. UTEP offers 172 bachelor's, master's and doctoral degree programs at the only open-access, top-tier research university in America. About VP Business Affairs The Division of Business Affairs oversees many elements of doing business at UTEP, including human resources, the budget office, and accounting and financial services. In addition, the VPBA Office manages business contracts and agreements, institutional memberships, the University's risk management/insurance program, and the open records process. Our goal is to support the University's teaching, research and public service mission by providing superior services to the campus community. UTEP Special Facilities Management Department The UTEP Special Facilities Management department, under the Office of Special Events, manages and maintains the Special Use Facilities at the University of Texas at El Paso. These include the Don Haskins Center, Sun Bowl Stadium, and Magoffin Auditorium. These spaces are exceptional rental venues suitable for meetings, conferences, banquets, graduations, athletic events, and more. Available to Registered Student Organizations (RSOs), University departments, Internal Organizations, and External Organizations within the wider El Paso community. Position Information Hiring Department: Special Facilities Management Department Posting End Date: Open until filled. Hours: 40 hours per week, standard Monday- Friday 8:00am- 5:00pm, flexibility is required on evenings and weekends FLSA status: Exempt Earliest Start Date: As soon as possible. Salary: Commensurate with experience. Required Application Materials: Resume Cover Letter List of three references Note: To the extent that this position involves research, work, or access to critical infrastructure as referenced in Executive Order GA-48, being hired for and continuing to be employed in this position requires the ability to maintain the security or integrity of the infrastructure. The primary accountabilities are intended to describe the general content of and requirements of this position and are not intended to be an exhaustive statement of duties. Incumbents may perform all or some of the primary accountabilities listed. Specific tasks or responsibilities will be documented in the incumbents' performance objectives as outlined by the incumbents' immediate supervisor or manager. This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes the employer to obtain criminal history record information. A valid driver's license issued by the State where the applicant resides and insurability as defined in UTS 157 may be required to perform the position's essential functions. Position Summary Summary: Reports to, and administratively assists, the Director of Special Facility Management in all functions of the Special Events Department. The Assistant Director of Special Facility Management will oversee operations and perform management functions at venues and events in the Office of Special Events. The Assistant Director will be responsible for day-to-day operations to ensure all event needs are met. This position will work closely with staff to provide a high level customer service in order to ensure a friendly, safe environment at all events, and work with operations and technical team on developing policies and procedures, assist with planning and cost estimates. Additionally, the Assistant Director will oversee personnel staffing, job performance, budget, equipment and supplies inventory, and provide input on venue improvements. Note: The primary accountabilities below are intended to describe the general content of and requirements of this position and are not intended to be an exhaustive statement of duties. Incumbents may perform all or some of the primary accountabilities listed below. Specific tasks or responsibilities will be documented in the incumbents' performance objectives as outlined by the incumbents' immediate supervisor or manager. This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes the employer to obtain criminal history record information. A valid driver's license issued by the State where the applicant resides and insurability as defined in UTS 157 may be required to perform the position's essential functions. Statement of Duties and Responsibilities: Coordinate the events calendar and assigns daily work to supervisors. Assist with the scheduling of full time and part time staff for all events. Prioritize posts and determine suitable staffing levels with Supervisors. Assists with event layouts and planning. Assists with event execution from inception to restore. Inspect and assure that final event setup thoroughly matches the Requisition or Production Advance before client arrives. Acts as the liaison with live event production staff regarding security and event operations for ticketed and nonticketed events. Supervises and participates in Athletics Game Day Management; Serves as manager on duty, as required. Oversee the maintenance of the special use facilities grounds and facility equipment. Ensures the quality of services and workmanship by managing, planning, scheduling, supervising engineering and electrical maintenance personnel. Works with Facilities Services on campus to implement the most efficient and cost effective means for operation of mechanical systems, HVAC systems and lighting systems. Manages resources to ensure compliance with budget objectives, and standards of facility and equipment repair, equipment inventory and cost control. Responsible for ensuring that outside work performed by other departments, contractors, and/or vendors for the facilites are coordinated through the office to insure the work is conducted within prescribed industry standards and norms. Assists in seeking outside clients and events to create additional revenues for the Don Haskins Center, Sun Bowl Stadium, Magoffin Auditorium for the department. Monitors the formulation and coordination of account specifications, requirements for monetary transactions, and associated documents; reviews and approves negotiated agreements for area(s) of assigned responsibility. Reviews cost factors and estimates used in planning, organizing, and scheduling work, preparing bids, selecting vendors or subcontractors, and determining cost effectiveness. Assists in timekeeping software and payroll procedures for part time staff working in the Auxiliary Services Shared Pool. Conducts overall management of a full time supervisors, student work-studies, and internship/volunteer programs. Interviewing, hiring, and training employees; planning, assigning, and directing work; appraising performance; coaching and counseling subordinates; rewarding and disciplining employees; addressing complaints and resolving problem. Understands department's role in accomplishing the University's mission. Acts as liaison between University Departments and External Clients. Participates in various committees, professional trainings, industry conferences, and conventions. knowledge of all Microsoft Office software, Autodesk CAD software, and able to learn and use institutional software systems. Promotes organization policies and procedures in compliance with local, state, and federal rules and regulations; advises University personnel regarding the development and implementation of regulatory strategy, potential areas of regulatory concern, and new government/regulatory developments. Provides training policies, standards, guidelines, and security monitoring processes in relation to general control, privacy regulations, and development and operation of the University's infrastructure. Knowledge of all Microsoft Office software and able to learn and use institutional software systems. Complies with all State and University policies. Other duties may be assigned. Supervisory Responsibilities Carries out supervisory responsibilities in accordance with the organization's objectives, policies and applicable laws. Qualifications Qualifications To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Required Qualifications: Education: Bachelor's Degree and Experience: . click apply for full job details
01/09/2026
Full time
Assistant Director - Special Facilities Management Job ID: 14653 Location: El Paso, TX Full/Part Time: Full Time Regular/Temporary: Regular Why Pick UTEP About the University of Texas at El Paso UTEP is a comprehensive public research university that is increasing access to excellent higher education. We advance discovery of public value and positively impact the health, culture, education, and economy of the community we serve. The University of Texas at El Paso is America's leading Hispanic-serving university. Located at the westernmost tip of Texas, where three states and two countries converge along the Rio Grande, 84% of our 24,000 students are Hispanic, and more than half are the first in their families to go to college. UTEP offers 172 bachelor's, master's and doctoral degree programs at the only open-access, top-tier research university in America. About VP Business Affairs The Division of Business Affairs oversees many elements of doing business at UTEP, including human resources, the budget office, and accounting and financial services. In addition, the VPBA Office manages business contracts and agreements, institutional memberships, the University's risk management/insurance program, and the open records process. Our goal is to support the University's teaching, research and public service mission by providing superior services to the campus community. UTEP Special Facilities Management Department The UTEP Special Facilities Management department, under the Office of Special Events, manages and maintains the Special Use Facilities at the University of Texas at El Paso. These include the Don Haskins Center, Sun Bowl Stadium, and Magoffin Auditorium. These spaces are exceptional rental venues suitable for meetings, conferences, banquets, graduations, athletic events, and more. Available to Registered Student Organizations (RSOs), University departments, Internal Organizations, and External Organizations within the wider El Paso community. Position Information Hiring Department: Special Facilities Management Department Posting End Date: Open until filled. Hours: 40 hours per week, standard Monday- Friday 8:00am- 5:00pm, flexibility is required on evenings and weekends FLSA status: Exempt Earliest Start Date: As soon as possible. Salary: Commensurate with experience. Required Application Materials: Resume Cover Letter List of three references Note: To the extent that this position involves research, work, or access to critical infrastructure as referenced in Executive Order GA-48, being hired for and continuing to be employed in this position requires the ability to maintain the security or integrity of the infrastructure. The primary accountabilities are intended to describe the general content of and requirements of this position and are not intended to be an exhaustive statement of duties. Incumbents may perform all or some of the primary accountabilities listed. Specific tasks or responsibilities will be documented in the incumbents' performance objectives as outlined by the incumbents' immediate supervisor or manager. This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes the employer to obtain criminal history record information. A valid driver's license issued by the State where the applicant resides and insurability as defined in UTS 157 may be required to perform the position's essential functions. Position Summary Summary: Reports to, and administratively assists, the Director of Special Facility Management in all functions of the Special Events Department. The Assistant Director of Special Facility Management will oversee operations and perform management functions at venues and events in the Office of Special Events. The Assistant Director will be responsible for day-to-day operations to ensure all event needs are met. This position will work closely with staff to provide a high level customer service in order to ensure a friendly, safe environment at all events, and work with operations and technical team on developing policies and procedures, assist with planning and cost estimates. Additionally, the Assistant Director will oversee personnel staffing, job performance, budget, equipment and supplies inventory, and provide input on venue improvements. Note: The primary accountabilities below are intended to describe the general content of and requirements of this position and are not intended to be an exhaustive statement of duties. Incumbents may perform all or some of the primary accountabilities listed below. Specific tasks or responsibilities will be documented in the incumbents' performance objectives as outlined by the incumbents' immediate supervisor or manager. This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes the employer to obtain criminal history record information. A valid driver's license issued by the State where the applicant resides and insurability as defined in UTS 157 may be required to perform the position's essential functions. Statement of Duties and Responsibilities: Coordinate the events calendar and assigns daily work to supervisors. Assist with the scheduling of full time and part time staff for all events. Prioritize posts and determine suitable staffing levels with Supervisors. Assists with event layouts and planning. Assists with event execution from inception to restore. Inspect and assure that final event setup thoroughly matches the Requisition or Production Advance before client arrives. Acts as the liaison with live event production staff regarding security and event operations for ticketed and nonticketed events. Supervises and participates in Athletics Game Day Management; Serves as manager on duty, as required. Oversee the maintenance of the special use facilities grounds and facility equipment. Ensures the quality of services and workmanship by managing, planning, scheduling, supervising engineering and electrical maintenance personnel. Works with Facilities Services on campus to implement the most efficient and cost effective means for operation of mechanical systems, HVAC systems and lighting systems. Manages resources to ensure compliance with budget objectives, and standards of facility and equipment repair, equipment inventory and cost control. Responsible for ensuring that outside work performed by other departments, contractors, and/or vendors for the facilites are coordinated through the office to insure the work is conducted within prescribed industry standards and norms. Assists in seeking outside clients and events to create additional revenues for the Don Haskins Center, Sun Bowl Stadium, Magoffin Auditorium for the department. Monitors the formulation and coordination of account specifications, requirements for monetary transactions, and associated documents; reviews and approves negotiated agreements for area(s) of assigned responsibility. Reviews cost factors and estimates used in planning, organizing, and scheduling work, preparing bids, selecting vendors or subcontractors, and determining cost effectiveness. Assists in timekeeping software and payroll procedures for part time staff working in the Auxiliary Services Shared Pool. Conducts overall management of a full time supervisors, student work-studies, and internship/volunteer programs. Interviewing, hiring, and training employees; planning, assigning, and directing work; appraising performance; coaching and counseling subordinates; rewarding and disciplining employees; addressing complaints and resolving problem. Understands department's role in accomplishing the University's mission. Acts as liaison between University Departments and External Clients. Participates in various committees, professional trainings, industry conferences, and conventions. knowledge of all Microsoft Office software, Autodesk CAD software, and able to learn and use institutional software systems. Promotes organization policies and procedures in compliance with local, state, and federal rules and regulations; advises University personnel regarding the development and implementation of regulatory strategy, potential areas of regulatory concern, and new government/regulatory developments. Provides training policies, standards, guidelines, and security monitoring processes in relation to general control, privacy regulations, and development and operation of the University's infrastructure. Knowledge of all Microsoft Office software and able to learn and use institutional software systems. Complies with all State and University policies. Other duties may be assigned. Supervisory Responsibilities Carries out supervisory responsibilities in accordance with the organization's objectives, policies and applicable laws. Qualifications Qualifications To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Required Qualifications: Education: Bachelor's Degree and Experience: . click apply for full job details
Date Posted: 2025-12-15 Country: United States of America Location: MA132: Tewksbury, Ma Bldg 2 Sudbury 50 Apple Hill Drive Sudbury - Building 2, Tewksbury, MA, 01876 USA Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance: DoD Clearance: Secret At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. The Hardware Engineering department leads in the mechanical and electrical hardware design, development, and production of weapons systems. We use state-of-the-art tools, processes, and technology, with capabilities encompassing a broad range of technical disciplines, including product engineering, manufacturing, technical services, materials engineering, analysis and test, rapid hardware development/builds and configuration and data management documentation. The Engineering Rapid Build Services (ERBS) department within Hardware Engineering is chartered to deliver agile services. We bridge across Operations and Engineering, providing solutions through the execution of quick-turn procurement and manufacturing. ERBS is skilled in special test equipment and program trainers. ERBS executes prototyping and high-mix/low-rate procurement and fabrication activities with a focus on in-house electro-mechanical packaging, support equipment and liquid cooling systems integration. We strive to minimize cycle times and provide best value through the utilization of dynamic and agile processes. This role is for a Section Leader of the Engineering Product Execution Support Section for ERBS in Tewksbury, MA. The purpose of this section is to support ERBS build and procurement efforts for our engineering customers. The section is an experienced and groups comprised of Material Planners, Project Leads and Manufacturing Engineers. This role is located on-site in Tewksbury, MA. What You Will Do Coordinate program staffing needs, ensuring that each direct report has suitable work assignment and opportunities for growth and career advancement. Provide guidance, direction, mentoring for all three roles: Material Planner, Project Lead and Manufacturing Engineer Document and manage the processes, roles, and responsibilities of this team, jointly with the development of the larger organizational processes and roles. Collaborate with the Department Leader and other ERBS Section Leaders in execution of Hardware Engineering goals. Oversee training to foster growth of direct reports and maintain/improve skillsets within the section. Foster teamwork and interdependent execution of tasking Participate in performance development processes including goal setting, performance reviews and merit allocation. Directorate and Business Communication flow down Support department hiring goals. Review EACs for work affecting the section Technical oversight of program scope supported by section. Review of program financial metrics Review of proposals and support to proposal activities for program growth and new pursuits Qualifications You Must Have Typically requires Bachelor's degree in engineering, manufacturing, technology or related field and 10 years of prior relevant experience OR an Advanced degree and 7 years of relevant experience Experience leading teams. The ability to obtain and maintain a US security clearance prior to the start date. U.S. citizenship is required as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Strong business acumen, communication, interpersonal skills & ability to influence Strong communication and collaboration skills Experience in desktop computing tools (MS Excel, MS Word, MS PowerPoint, and MS Project) Ability to interface with other engineering disciplines, non-technical disciplines, and customers to resolve issues. Self-motivated with effective oral and written communication skills. Proven record of providing innovative solutions. Experience with the writing and execution of proposals. Thorough understanding of procurement and manufacturing process and MRP systems (SAP/PRISM) Thorough understanding of Earned Value Management System and the EAC process Advanced degree in Manufacturing or Engineering Management What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Eligible Learn More & Apply Now! (Optional) Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 124,000 USD - 250,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
01/08/2026
Full time
Date Posted: 2025-12-15 Country: United States of America Location: MA132: Tewksbury, Ma Bldg 2 Sudbury 50 Apple Hill Drive Sudbury - Building 2, Tewksbury, MA, 01876 USA Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance: DoD Clearance: Secret At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. The Hardware Engineering department leads in the mechanical and electrical hardware design, development, and production of weapons systems. We use state-of-the-art tools, processes, and technology, with capabilities encompassing a broad range of technical disciplines, including product engineering, manufacturing, technical services, materials engineering, analysis and test, rapid hardware development/builds and configuration and data management documentation. The Engineering Rapid Build Services (ERBS) department within Hardware Engineering is chartered to deliver agile services. We bridge across Operations and Engineering, providing solutions through the execution of quick-turn procurement and manufacturing. ERBS is skilled in special test equipment and program trainers. ERBS executes prototyping and high-mix/low-rate procurement and fabrication activities with a focus on in-house electro-mechanical packaging, support equipment and liquid cooling systems integration. We strive to minimize cycle times and provide best value through the utilization of dynamic and agile processes. This role is for a Section Leader of the Engineering Product Execution Support Section for ERBS in Tewksbury, MA. The purpose of this section is to support ERBS build and procurement efforts for our engineering customers. The section is an experienced and groups comprised of Material Planners, Project Leads and Manufacturing Engineers. This role is located on-site in Tewksbury, MA. What You Will Do Coordinate program staffing needs, ensuring that each direct report has suitable work assignment and opportunities for growth and career advancement. Provide guidance, direction, mentoring for all three roles: Material Planner, Project Lead and Manufacturing Engineer Document and manage the processes, roles, and responsibilities of this team, jointly with the development of the larger organizational processes and roles. Collaborate with the Department Leader and other ERBS Section Leaders in execution of Hardware Engineering goals. Oversee training to foster growth of direct reports and maintain/improve skillsets within the section. Foster teamwork and interdependent execution of tasking Participate in performance development processes including goal setting, performance reviews and merit allocation. Directorate and Business Communication flow down Support department hiring goals. Review EACs for work affecting the section Technical oversight of program scope supported by section. Review of program financial metrics Review of proposals and support to proposal activities for program growth and new pursuits Qualifications You Must Have Typically requires Bachelor's degree in engineering, manufacturing, technology or related field and 10 years of prior relevant experience OR an Advanced degree and 7 years of relevant experience Experience leading teams. The ability to obtain and maintain a US security clearance prior to the start date. U.S. citizenship is required as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Strong business acumen, communication, interpersonal skills & ability to influence Strong communication and collaboration skills Experience in desktop computing tools (MS Excel, MS Word, MS PowerPoint, and MS Project) Ability to interface with other engineering disciplines, non-technical disciplines, and customers to resolve issues. Self-motivated with effective oral and written communication skills. Proven record of providing innovative solutions. Experience with the writing and execution of proposals. Thorough understanding of procurement and manufacturing process and MRP systems (SAP/PRISM) Thorough understanding of Earned Value Management System and the EAC process Advanced degree in Manufacturing or Engineering Management What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Eligible Learn More & Apply Now! (Optional) Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 124,000 USD - 250,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Date Posted: 2025-12-15 Country: United States of America Location: MA132: Tewksbury, Ma Bldg 2 Sudbury 50 Apple Hill Drive Sudbury - Building 2, Tewksbury, MA, 01876 USA Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance: DoD Clearance: Secret At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. The Hardware Engineering department leads in the mechanical and electrical hardware design, development, and production of weapons systems. We use state-of-the-art tools, processes, and technology, with capabilities encompassing a broad range of technical disciplines, including product engineering, manufacturing, technical services, materials engineering, analysis and test, rapid hardware development/builds and configuration and data management documentation. The Engineering Rapid Build Services (ERBS) department within Hardware Engineering is chartered to deliver agile services. We bridge across Operations and Engineering, providing solutions through the execution of quick-turn procurement and manufacturing. ERBS is skilled in special test equipment and program trainers. ERBS executes prototyping and high-mix/low-rate procurement and fabrication activities with a focus on in-house electro-mechanical packaging, support equipment and liquid cooling systems integration. We strive to minimize cycle times and provide best value through the utilization of dynamic and agile processes. This role is for a Section Leader of the Engineering Product Execution Support Section for ERBS in Tewksbury, MA. The purpose of this section is to support ERBS build and procurement efforts for our engineering customers. The section is an experienced and groups comprised of Material Planners, Project Leads and Manufacturing Engineers. This role is located on-site in Tewksbury, MA. What You Will Do Coordinate program staffing needs, ensuring that each direct report has suitable work assignment and opportunities for growth and career advancement. Provide guidance, direction, mentoring for all three roles: Material Planner, Project Lead and Manufacturing Engineer Document and manage the processes, roles, and responsibilities of this team, jointly with the development of the larger organizational processes and roles. Collaborate with the Department Leader and other ERBS Section Leaders in execution of Hardware Engineering goals. Oversee training to foster growth of direct reports and maintain/improve skillsets within the section. Foster teamwork and interdependent execution of tasking Participate in performance development processes including goal setting, performance reviews and merit allocation. Directorate and Business Communication flow down Support department hiring goals. Review EACs for work affecting the section Technical oversight of program scope supported by section. Review of program financial metrics Review of proposals and support to proposal activities for program growth and new pursuits Qualifications You Must Have Typically requires Bachelor's degree in engineering, manufacturing, technology or related field and 10 years of prior relevant experience OR an Advanced degree and 7 years of relevant experience Experience leading teams. The ability to obtain and maintain a US security clearance prior to the start date. U.S. citizenship is required as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Strong business acumen, communication, interpersonal skills & ability to influence Strong communication and collaboration skills Experience in desktop computing tools (MS Excel, MS Word, MS PowerPoint, and MS Project) Ability to interface with other engineering disciplines, non-technical disciplines, and customers to resolve issues. Self-motivated with effective oral and written communication skills. Proven record of providing innovative solutions. Experience with the writing and execution of proposals. Thorough understanding of procurement and manufacturing process and MRP systems (SAP/PRISM) Thorough understanding of Earned Value Management System and the EAC process Advanced degree in Manufacturing or Engineering Management What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Eligible Learn More & Apply Now! (Optional) Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 124,000 USD - 250,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
01/08/2026
Full time
Date Posted: 2025-12-15 Country: United States of America Location: MA132: Tewksbury, Ma Bldg 2 Sudbury 50 Apple Hill Drive Sudbury - Building 2, Tewksbury, MA, 01876 USA Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance: DoD Clearance: Secret At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. The Hardware Engineering department leads in the mechanical and electrical hardware design, development, and production of weapons systems. We use state-of-the-art tools, processes, and technology, with capabilities encompassing a broad range of technical disciplines, including product engineering, manufacturing, technical services, materials engineering, analysis and test, rapid hardware development/builds and configuration and data management documentation. The Engineering Rapid Build Services (ERBS) department within Hardware Engineering is chartered to deliver agile services. We bridge across Operations and Engineering, providing solutions through the execution of quick-turn procurement and manufacturing. ERBS is skilled in special test equipment and program trainers. ERBS executes prototyping and high-mix/low-rate procurement and fabrication activities with a focus on in-house electro-mechanical packaging, support equipment and liquid cooling systems integration. We strive to minimize cycle times and provide best value through the utilization of dynamic and agile processes. This role is for a Section Leader of the Engineering Product Execution Support Section for ERBS in Tewksbury, MA. The purpose of this section is to support ERBS build and procurement efforts for our engineering customers. The section is an experienced and groups comprised of Material Planners, Project Leads and Manufacturing Engineers. This role is located on-site in Tewksbury, MA. What You Will Do Coordinate program staffing needs, ensuring that each direct report has suitable work assignment and opportunities for growth and career advancement. Provide guidance, direction, mentoring for all three roles: Material Planner, Project Lead and Manufacturing Engineer Document and manage the processes, roles, and responsibilities of this team, jointly with the development of the larger organizational processes and roles. Collaborate with the Department Leader and other ERBS Section Leaders in execution of Hardware Engineering goals. Oversee training to foster growth of direct reports and maintain/improve skillsets within the section. Foster teamwork and interdependent execution of tasking Participate in performance development processes including goal setting, performance reviews and merit allocation. Directorate and Business Communication flow down Support department hiring goals. Review EACs for work affecting the section Technical oversight of program scope supported by section. Review of program financial metrics Review of proposals and support to proposal activities for program growth and new pursuits Qualifications You Must Have Typically requires Bachelor's degree in engineering, manufacturing, technology or related field and 10 years of prior relevant experience OR an Advanced degree and 7 years of relevant experience Experience leading teams. The ability to obtain and maintain a US security clearance prior to the start date. U.S. citizenship is required as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Strong business acumen, communication, interpersonal skills & ability to influence Strong communication and collaboration skills Experience in desktop computing tools (MS Excel, MS Word, MS PowerPoint, and MS Project) Ability to interface with other engineering disciplines, non-technical disciplines, and customers to resolve issues. Self-motivated with effective oral and written communication skills. Proven record of providing innovative solutions. Experience with the writing and execution of proposals. Thorough understanding of procurement and manufacturing process and MRP systems (SAP/PRISM) Thorough understanding of Earned Value Management System and the EAC process Advanced degree in Manufacturing or Engineering Management What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation. Relocation Eligible Learn More & Apply Now! (Optional) Please consider the following role type definition as you apply for this role. Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 124,000 USD - 250,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Date Posted: 2025-11-14 Country: United States of America Location: MA131: Tewksbury, MA Bldg 1 Assabet 50 Apple Hill Drive Assabet - Building 1, Tewksbury, MA, 01876 USA Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance: DoD Clearance: Secret At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. The Radar Digital Products Department is seeking a Principal Electrical Engineer with strong mixed signal PCB design skills. Our digital electronic system designs include signal processing, command and control, communications, and user interfaces for military applications. Engineer will work with a highly motivated team environment and collaborate with cross-functional project teams making up a larger program or support internal research and development efforts. Our engineers are assigned to a manager of approximately 20 employees with similar skills. This position is 100% ONSITE in either Tewksbury or Marlborough, MA. What You Will Do Design embedded processor circuit boards using CAD tools Work with a team of engineers developing designs based on modeling and simulations Work with Systems Engineers and other development team members in translating system performance and operational specifications into hardware requirements, design, and test specifications Help drive projects and execute to program schedules on time and budget Lead small teams and mentor junior engineers Demonstrate self-motivation, with little supervision Support internal and external technical reviews Qualifications You Must Have Bachelor of Science degree in Electrical Engineering or equivalent STEM discipline Minimum eight (8) years of professional experience in the design and implementation of mixed signal electronic circuits and systems Experience implementing high speed memory (DDR) and high speed circuit (ie. PCIE, 100GbE) designs Signal Integrity analysis skills including experience using tools such as Hyperlynx SI Experience using Power Integrity analysis tools such as Mentor's Hyperlynx PI U.S. Citizen - Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Fielding and troubleshooting a variety of systems including custom designed processor and/or FPGA based circuit boards Experience constructing test and integration plans for circuit boards Experience using engineering CAD tools such as Mentor Graphics Xpedition Designer for the design of complex circuit board assemblies Experience working in a laboratory environment using logic analyzers and oscilloscopes to test and verify the functions of digital and mixed signal circuits and systems Embedded system design experience utilizing microprocessors and microcontrollers along with C code based programming FPGA development or verification skills using SystemVerilog, OVM, or VHDLE What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. This position offers relocation. Learn More & Apply Now! Please consider the following role type definitions as you apply for this role: Onsite. Employees who are working in onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Raytheon Information - As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 101,000 USD - 203,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
01/08/2026
Full time
Date Posted: 2025-11-14 Country: United States of America Location: MA131: Tewksbury, MA Bldg 1 Assabet 50 Apple Hill Drive Assabet - Building 1, Tewksbury, MA, 01876 USA Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance: DoD Clearance: Secret At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. The Radar Digital Products Department is seeking a Principal Electrical Engineer with strong mixed signal PCB design skills. Our digital electronic system designs include signal processing, command and control, communications, and user interfaces for military applications. Engineer will work with a highly motivated team environment and collaborate with cross-functional project teams making up a larger program or support internal research and development efforts. Our engineers are assigned to a manager of approximately 20 employees with similar skills. This position is 100% ONSITE in either Tewksbury or Marlborough, MA. What You Will Do Design embedded processor circuit boards using CAD tools Work with a team of engineers developing designs based on modeling and simulations Work with Systems Engineers and other development team members in translating system performance and operational specifications into hardware requirements, design, and test specifications Help drive projects and execute to program schedules on time and budget Lead small teams and mentor junior engineers Demonstrate self-motivation, with little supervision Support internal and external technical reviews Qualifications You Must Have Bachelor of Science degree in Electrical Engineering or equivalent STEM discipline Minimum eight (8) years of professional experience in the design and implementation of mixed signal electronic circuits and systems Experience implementing high speed memory (DDR) and high speed circuit (ie. PCIE, 100GbE) designs Signal Integrity analysis skills including experience using tools such as Hyperlynx SI Experience using Power Integrity analysis tools such as Mentor's Hyperlynx PI U.S. Citizen - Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Fielding and troubleshooting a variety of systems including custom designed processor and/or FPGA based circuit boards Experience constructing test and integration plans for circuit boards Experience using engineering CAD tools such as Mentor Graphics Xpedition Designer for the design of complex circuit board assemblies Experience working in a laboratory environment using logic analyzers and oscilloscopes to test and verify the functions of digital and mixed signal circuits and systems Embedded system design experience utilizing microprocessors and microcontrollers along with C code based programming FPGA development or verification skills using SystemVerilog, OVM, or VHDLE What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. This position offers relocation. Learn More & Apply Now! Please consider the following role type definitions as you apply for this role: Onsite. Employees who are working in onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Raytheon Information - As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 101,000 USD - 203,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Date Posted: 2025-11-14 Country: United States of America Location: MA131: Tewksbury, MA Bldg 1 Assabet 50 Apple Hill Drive Assabet - Building 1, Tewksbury, MA, 01876 USA Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance: DoD Clearance: Secret At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. The Radar Digital Products Department is seeking a Principal Electrical Engineer with strong mixed signal PCB design skills. Our digital electronic system designs include signal processing, command and control, communications, and user interfaces for military applications. Engineer will work with a highly motivated team environment and collaborate with cross-functional project teams making up a larger program or support internal research and development efforts. Our engineers are assigned to a manager of approximately 20 employees with similar skills. This position is 100% ONSITE in either Tewksbury or Marlborough, MA. What You Will Do Design embedded processor circuit boards using CAD tools Work with a team of engineers developing designs based on modeling and simulations Work with Systems Engineers and other development team members in translating system performance and operational specifications into hardware requirements, design, and test specifications Help drive projects and execute to program schedules on time and budget Lead small teams and mentor junior engineers Demonstrate self-motivation, with little supervision Support internal and external technical reviews Qualifications You Must Have Bachelor of Science degree in Electrical Engineering or equivalent STEM discipline Minimum eight (8) years of professional experience in the design and implementation of mixed signal electronic circuits and systems Experience implementing high speed memory (DDR) and high speed circuit (ie. PCIE, 100GbE) designs Signal Integrity analysis skills including experience using tools such as Hyperlynx SI Experience using Power Integrity analysis tools such as Mentor's Hyperlynx PI U.S. Citizen - Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Fielding and troubleshooting a variety of systems including custom designed processor and/or FPGA based circuit boards Experience constructing test and integration plans for circuit boards Experience using engineering CAD tools such as Mentor Graphics Xpedition Designer for the design of complex circuit board assemblies Experience working in a laboratory environment using logic analyzers and oscilloscopes to test and verify the functions of digital and mixed signal circuits and systems Embedded system design experience utilizing microprocessors and microcontrollers along with C code based programming FPGA development or verification skills using SystemVerilog, OVM, or VHDLE What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. This position offers relocation. Learn More & Apply Now! Please consider the following role type definitions as you apply for this role: Onsite. Employees who are working in onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Raytheon Information - As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 101,000 USD - 203,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
01/08/2026
Full time
Date Posted: 2025-11-14 Country: United States of America Location: MA131: Tewksbury, MA Bldg 1 Assabet 50 Apple Hill Drive Assabet - Building 1, Tewksbury, MA, 01876 USA Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance: DoD Clearance: Secret At Raytheon, the foundation of everything we do is rooted in our values and a higher calling - to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. Our team solves tough, meaningful problems that create a safer, more secure world. The Radar Digital Products Department is seeking a Principal Electrical Engineer with strong mixed signal PCB design skills. Our digital electronic system designs include signal processing, command and control, communications, and user interfaces for military applications. Engineer will work with a highly motivated team environment and collaborate with cross-functional project teams making up a larger program or support internal research and development efforts. Our engineers are assigned to a manager of approximately 20 employees with similar skills. This position is 100% ONSITE in either Tewksbury or Marlborough, MA. What You Will Do Design embedded processor circuit boards using CAD tools Work with a team of engineers developing designs based on modeling and simulations Work with Systems Engineers and other development team members in translating system performance and operational specifications into hardware requirements, design, and test specifications Help drive projects and execute to program schedules on time and budget Lead small teams and mentor junior engineers Demonstrate self-motivation, with little supervision Support internal and external technical reviews Qualifications You Must Have Bachelor of Science degree in Electrical Engineering or equivalent STEM discipline Minimum eight (8) years of professional experience in the design and implementation of mixed signal electronic circuits and systems Experience implementing high speed memory (DDR) and high speed circuit (ie. PCIE, 100GbE) designs Signal Integrity analysis skills including experience using tools such as Hyperlynx SI Experience using Power Integrity analysis tools such as Mentor's Hyperlynx PI U.S. Citizen - Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Fielding and troubleshooting a variety of systems including custom designed processor and/or FPGA based circuit boards Experience constructing test and integration plans for circuit boards Experience using engineering CAD tools such as Mentor Graphics Xpedition Designer for the design of complex circuit board assemblies Experience working in a laboratory environment using logic analyzers and oscilloscopes to test and verify the functions of digital and mixed signal circuits and systems Embedded system design experience utilizing microprocessors and microcontrollers along with C code based programming FPGA development or verification skills using SystemVerilog, OVM, or VHDLE What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation. This position offers relocation. Learn More & Apply Now! Please consider the following role type definitions as you apply for this role: Onsite. Employees who are working in onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Raytheon Information - As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 101,000 USD - 203,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
01/08/2026
Full time
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
01/08/2026
Full time
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
Overview INTERDISCIPLINARY ENGINEER (USCG): Bowhead is seeking a Interdisciplinary Engineer to provide civil engineering services to United States Coast Guard (USCG) Civil Engineering Unit (CEU) Juneau. Position is located at USCG CEU in Juneau, AK, in support of projects throughout the 17th Coast Guard District (D17) area of responsibility (AOR). Services include independent technical reviews, project scope development, field investigation, planning, specifications, drawings, cost estimating, problem and conflict resolution, scheduling and design production, and facility condition assessments. Responsibilities Essential duties and responsibilities include, but are not limited to: Provide civil engineering services for the CEU Juneau in support of work associated with projects on the Advanced Acquisition Plan and other inserted projects. Provide civil engineering trouble-shooting and/or consultations, providing technical and project advice and guidance to CEU Juneau Project Managers. Conduct comprehensive technical reviews of professional studies, reports and analysis. Collaborate with managers, other engineers/architects, construction project managers, legal staff, contract specialists and or contractor personnel, and provides advice and insight on the resolution of unique and/or complex engineering problems and disputes. Provide technical reviews and review comments for project designs, including Design-Build and Design-Bid-Build efforts. Provide technical responses for A/E and contractor requests for information and coordinates with CEU Juneau Project Manager in developing Scopes of Work for required contract modifications. Provide facility condition assessments and evaluations throughout D17. Travel (potential for overnight) to meet with CEU Juneau staff and review contract performance is required. Other travel may include occasional travel to operational & construction sites in USCG District 17 Area of Responsibility (D17 AOR Alaska Maritime Region). Qualifications Requires a minimum of five (5+) years of work experience in the civil, electrical, mechanical, or structural engineering field and BA/BS degree in related field. Ten (10+) years of experience and MA/MS degree in related field preferred. Must have demonstrated mastery of civil engineering concepts, principles, and practices. Experience in National Codes and Mechanical Engineering sub-disciplines (including heating, air conditioning, ventilation, plumbing, fuel systems, tanks, pumps, piping, steam, and minor structural, etc.) is required. Licensed Professional Engineer or other industry-standard professional license related to position highly desirable. Experience with design work for conditions in the D17 AOR (high seismic, high-wind and coastal maritime climate conditions), AutoCAD drafting skills, developing/reviewing technical packages for Design-Build, Design-Bid-Build and performance specifications is highly desirable. Preferred candidates will have a mechanical or electrical engineering background with at least five (5+) years of experience in facility repair and restoration experience and strong AutoCAD and Autodesk Civil3D experience WORK ENVIRONMENT: The work is primarily sedentary and is performed in a normal office environment. The contractor may be exposed to risks associated with field work which may include moderate stress such as being exposed to adverse weather, riding in small aircraft, climbing ladders, crawling under buildings, etc. Physical Demands: • Must be able to lift up to 25 pounds • Must be able to stand and walk for prolonged amounts of time • Must be able to twist, bend, and squat periodically SECURITY CLEARANCE REQUIREMENTS: Must be able to obtain a clearance at the Public Trust level. US Citizenship is a requirement for Public Trust clearance at this location.
01/08/2026
Full time
Overview INTERDISCIPLINARY ENGINEER (USCG): Bowhead is seeking a Interdisciplinary Engineer to provide civil engineering services to United States Coast Guard (USCG) Civil Engineering Unit (CEU) Juneau. Position is located at USCG CEU in Juneau, AK, in support of projects throughout the 17th Coast Guard District (D17) area of responsibility (AOR). Services include independent technical reviews, project scope development, field investigation, planning, specifications, drawings, cost estimating, problem and conflict resolution, scheduling and design production, and facility condition assessments. Responsibilities Essential duties and responsibilities include, but are not limited to: Provide civil engineering services for the CEU Juneau in support of work associated with projects on the Advanced Acquisition Plan and other inserted projects. Provide civil engineering trouble-shooting and/or consultations, providing technical and project advice and guidance to CEU Juneau Project Managers. Conduct comprehensive technical reviews of professional studies, reports and analysis. Collaborate with managers, other engineers/architects, construction project managers, legal staff, contract specialists and or contractor personnel, and provides advice and insight on the resolution of unique and/or complex engineering problems and disputes. Provide technical reviews and review comments for project designs, including Design-Build and Design-Bid-Build efforts. Provide technical responses for A/E and contractor requests for information and coordinates with CEU Juneau Project Manager in developing Scopes of Work for required contract modifications. Provide facility condition assessments and evaluations throughout D17. Travel (potential for overnight) to meet with CEU Juneau staff and review contract performance is required. Other travel may include occasional travel to operational & construction sites in USCG District 17 Area of Responsibility (D17 AOR Alaska Maritime Region). Qualifications Requires a minimum of five (5+) years of work experience in the civil, electrical, mechanical, or structural engineering field and BA/BS degree in related field. Ten (10+) years of experience and MA/MS degree in related field preferred. Must have demonstrated mastery of civil engineering concepts, principles, and practices. Experience in National Codes and Mechanical Engineering sub-disciplines (including heating, air conditioning, ventilation, plumbing, fuel systems, tanks, pumps, piping, steam, and minor structural, etc.) is required. Licensed Professional Engineer or other industry-standard professional license related to position highly desirable. Experience with design work for conditions in the D17 AOR (high seismic, high-wind and coastal maritime climate conditions), AutoCAD drafting skills, developing/reviewing technical packages for Design-Build, Design-Bid-Build and performance specifications is highly desirable. Preferred candidates will have a mechanical or electrical engineering background with at least five (5+) years of experience in facility repair and restoration experience and strong AutoCAD and Autodesk Civil3D experience WORK ENVIRONMENT: The work is primarily sedentary and is performed in a normal office environment. The contractor may be exposed to risks associated with field work which may include moderate stress such as being exposed to adverse weather, riding in small aircraft, climbing ladders, crawling under buildings, etc. Physical Demands: • Must be able to lift up to 25 pounds • Must be able to stand and walk for prolonged amounts of time • Must be able to twist, bend, and squat periodically SECURITY CLEARANCE REQUIREMENTS: Must be able to obtain a clearance at the Public Trust level. US Citizenship is a requirement for Public Trust clearance at this location.
Overview Under the direction of the RN, assists in the provision of high-quality nursing care to the patients of the Home Health Services department. Qualifications License/Certifications: Basic Life Support (BLS) within 30 days - American Heart Association (AHA); Licensed Practical Nurse (LPN) - Illinois Department of Financial and Professional Regulation (IDFPR); Driver's License Upon Hire; Must possess and maintain auto insurance upon Hire Education: College Diploma: Licensed Practical Nurse (Required) Other Knowledge/Skills: 1-3 years of experience in an acute care setting Responsibilities Ensures quality care for clients of all ages and groups by providing appropriate documentation, communication and other follow-up and by using time, supplies and other resources productively. Ensures quality and the safe delivery of home health care services. Follows plan of care as established by the RN and under the supervision of the RN. Conducts a client assessment as appropriate and completes visit documentation according to Carle Health policy/procedure and regulatory bodies' requirements. Implements nursing interventions to meet the client's needs and changing conditions in accordance with Carle Health policy/procedures. Communicates to a RN changes in the client's condition according to Carle Health policy/procedure. Communicates the client/caregiver's needs to other staff members as appropriate when others are assigned to the client's care. Participates in client case reports to team members. Reports to the assigned Home Health Clinical Manager. Gives routine primary client reports to the primary care RN or to the Clinical Manager which include, but are not limited to, problems encountered with the client's care, the client's progress toward goals. Respects client confidentiality in all communications. Reports and completes appropriate documentation regarding client occurrences following Carle Health policy/procedure. Uses time, supplies and other resources productively to promote responsive and cost-effective client care. Observes, performs test procedures and initiates measures to prevent complications or minimize the effects of disease or injury. Demonstrates skilled care on an intermittent basis in compliance with the care described in the Plan of Treatment (POT). Demonstrates knowledge and skills necessary to provide care appropriate to the age of the individual client. Recognizes the need for referral(s) to other disciplines or resources that might assist with client care. Provides thorough coordination of care for all clients by communicating and/or documenting appropriate follow-up with Carle Health staff, physicians and other sources in accordance with Carle Health policy/procedure. Performs lab testing as appropriate. Ensures that clinical records are complete, legible, accurate and submitted in a timely manner. Provides necessary and appropriate documentation for the following, including, but not limited to: Daily Visit Notes Change Orders Audit Issues Occurrence Reports Follow-up Communications Provides clinical records that will comply with Carle Health Policies and Procedures and State and Federal Rules and Regulations and adheres to the standards of Regulatory agencies. Submits all clinical documentation per Carle Health policy/procedure. Demonstrates punctuality and flexibility in work schedule to meet the needs of the client/caregiver and the needs of the department. Utilizes time so that client care is maximized. Organizes visit schedule so that clients are seen within the assigned time required. Recognizes and prioritizes client needs so that all members of the caseload receive maximal care. Shows flexibility in work schedule by beginning the start of the day earlier or ending later or changing work shift in order to accommodate the needs of the client/caregiver in the community and meet the needs of the department. Attends and participates in quarterly departmental meetings. Responds willingly to requests by Carle Health to assist in covering extra skilled nursing visits, weekend/holiday p.m. visits. Turns in cellular phone statements/payments by specified time. Submits payroll time slip sheets accurately and timely according to departmental guidelines. Obtains and utilizes educational opportunities for professional development, personal growth and remains up to date with current trends. Assumes responsibility for being informed about developments in the department and the health care field. Informs and interprets health information to clients/caregivers and other members of the home health team. Identifies own learning needs by participating in educational activities within the department, organization and the community. Meets and maintains all departmental and Carle Health educational requirements and other certifications required by Carle Health. Participates and/or assists departmental work groups/teams. Is knowledgeable of payor sources requirements, Standards of Professional Practice, Carle Health policies and procedures and regulatory requirements. Obtains/Maintains Carle Health technical skills, competencies or certifications requirement for the Carle Health and specific client populations. About Us Find it here. Discover the job, the career, the purpose you were meant for. The supportive and inclusive team where you can thrive. The place where growth meets balance - and opportunities meet flexibility. Find it all at Carle Health. Based in Urbana, IL, Carle Health is a healthcare system with nearly 16,600 team members in its eight hospitals, physician groups and a variety of healthcare businesses. Carle BroMenn Medical Center, Carle Foundation Hospital, Carle Health Methodist Hospital, Carle Health Proctor Hospital, Carle Health Pekin Hospital, and Carle Hoopeston Regional Health Center hold Magnet designations, the nation's highest honor for nursing care. The system includes Methodist College and Carle Illinois College of Medicine, the world's first engineering-based medical school, and Health Alliance . We offer opportunities in several communities throughout central Illinois with potential for growth and life-long careers at Carle Health. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. Carle Health participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization. For more information: . Compensation and Benefits The compensation range for this position is $22.4per hour - $37.41per hour. This represents a good faith minimum and maximum range for the role at the time of posting by Carle Health. The actual compensation offered a candidate will be dependent on a variety of factors including, but not limited to, the candidate's experience, qualifications, location, training, licenses, shifts worked and compensation model. Carle Health offers a comprehensive benefits package for team members and providers. To learn more visit careers.carlehealth.org/benefits.
01/08/2026
Full time
Overview Under the direction of the RN, assists in the provision of high-quality nursing care to the patients of the Home Health Services department. Qualifications License/Certifications: Basic Life Support (BLS) within 30 days - American Heart Association (AHA); Licensed Practical Nurse (LPN) - Illinois Department of Financial and Professional Regulation (IDFPR); Driver's License Upon Hire; Must possess and maintain auto insurance upon Hire Education: College Diploma: Licensed Practical Nurse (Required) Other Knowledge/Skills: 1-3 years of experience in an acute care setting Responsibilities Ensures quality care for clients of all ages and groups by providing appropriate documentation, communication and other follow-up and by using time, supplies and other resources productively. Ensures quality and the safe delivery of home health care services. Follows plan of care as established by the RN and under the supervision of the RN. Conducts a client assessment as appropriate and completes visit documentation according to Carle Health policy/procedure and regulatory bodies' requirements. Implements nursing interventions to meet the client's needs and changing conditions in accordance with Carle Health policy/procedures. Communicates to a RN changes in the client's condition according to Carle Health policy/procedure. Communicates the client/caregiver's needs to other staff members as appropriate when others are assigned to the client's care. Participates in client case reports to team members. Reports to the assigned Home Health Clinical Manager. Gives routine primary client reports to the primary care RN or to the Clinical Manager which include, but are not limited to, problems encountered with the client's care, the client's progress toward goals. Respects client confidentiality in all communications. Reports and completes appropriate documentation regarding client occurrences following Carle Health policy/procedure. Uses time, supplies and other resources productively to promote responsive and cost-effective client care. Observes, performs test procedures and initiates measures to prevent complications or minimize the effects of disease or injury. Demonstrates skilled care on an intermittent basis in compliance with the care described in the Plan of Treatment (POT). Demonstrates knowledge and skills necessary to provide care appropriate to the age of the individual client. Recognizes the need for referral(s) to other disciplines or resources that might assist with client care. Provides thorough coordination of care for all clients by communicating and/or documenting appropriate follow-up with Carle Health staff, physicians and other sources in accordance with Carle Health policy/procedure. Performs lab testing as appropriate. Ensures that clinical records are complete, legible, accurate and submitted in a timely manner. Provides necessary and appropriate documentation for the following, including, but not limited to: Daily Visit Notes Change Orders Audit Issues Occurrence Reports Follow-up Communications Provides clinical records that will comply with Carle Health Policies and Procedures and State and Federal Rules and Regulations and adheres to the standards of Regulatory agencies. Submits all clinical documentation per Carle Health policy/procedure. Demonstrates punctuality and flexibility in work schedule to meet the needs of the client/caregiver and the needs of the department. Utilizes time so that client care is maximized. Organizes visit schedule so that clients are seen within the assigned time required. Recognizes and prioritizes client needs so that all members of the caseload receive maximal care. Shows flexibility in work schedule by beginning the start of the day earlier or ending later or changing work shift in order to accommodate the needs of the client/caregiver in the community and meet the needs of the department. Attends and participates in quarterly departmental meetings. Responds willingly to requests by Carle Health to assist in covering extra skilled nursing visits, weekend/holiday p.m. visits. Turns in cellular phone statements/payments by specified time. Submits payroll time slip sheets accurately and timely according to departmental guidelines. Obtains and utilizes educational opportunities for professional development, personal growth and remains up to date with current trends. Assumes responsibility for being informed about developments in the department and the health care field. Informs and interprets health information to clients/caregivers and other members of the home health team. Identifies own learning needs by participating in educational activities within the department, organization and the community. Meets and maintains all departmental and Carle Health educational requirements and other certifications required by Carle Health. Participates and/or assists departmental work groups/teams. Is knowledgeable of payor sources requirements, Standards of Professional Practice, Carle Health policies and procedures and regulatory requirements. Obtains/Maintains Carle Health technical skills, competencies or certifications requirement for the Carle Health and specific client populations. About Us Find it here. Discover the job, the career, the purpose you were meant for. The supportive and inclusive team where you can thrive. The place where growth meets balance - and opportunities meet flexibility. Find it all at Carle Health. Based in Urbana, IL, Carle Health is a healthcare system with nearly 16,600 team members in its eight hospitals, physician groups and a variety of healthcare businesses. Carle BroMenn Medical Center, Carle Foundation Hospital, Carle Health Methodist Hospital, Carle Health Proctor Hospital, Carle Health Pekin Hospital, and Carle Hoopeston Regional Health Center hold Magnet designations, the nation's highest honor for nursing care. The system includes Methodist College and Carle Illinois College of Medicine, the world's first engineering-based medical school, and Health Alliance . We offer opportunities in several communities throughout central Illinois with potential for growth and life-long careers at Carle Health. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. Carle Health participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization. For more information: . Compensation and Benefits The compensation range for this position is $22.4per hour - $37.41per hour. This represents a good faith minimum and maximum range for the role at the time of posting by Carle Health. The actual compensation offered a candidate will be dependent on a variety of factors including, but not limited to, the candidate's experience, qualifications, location, training, licenses, shifts worked and compensation model. Carle Health offers a comprehensive benefits package for team members and providers. To learn more visit careers.carlehealth.org/benefits.
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
01/08/2026
Full time
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
01/08/2026
Full time
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
01/08/2026
Full time
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
01/08/2026
Full time
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
01/08/2026
Full time
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
01/08/2026
Full time
Description: Weyerhaeuser is a recognized leader in sustainable forestry and wood products, committed to innovation, operational excellence, and responsible stewardship. As Senior AI Architect, you will define and evangelize AI architectures that power Weyerhaeuser's digital transformation. Spanning traditional machine learning, generative AI, and agentic AI, this role ensures solutions are scalable, secure, and responsible - driving measurable business value across our timberlands, wood products, and corporate functions. You will partner with business, data, and technology leaders - and external partners - to design and operationalize enterprise AI architectures built on governed, high-quality data. Your work will integrate AI models, services, and agents with technologies such as Microsoft Copilot, Azure, OpenAI, AWS, SAP, and Snowflake, ensuring alignment with Weyerhaeuser's Responsible AI and governance standards. Acting as a bridge between innovation and implementation, you'll enable scalable, trustworthy AI adoption across the enterprise - from supply chain optimization to geospatial and industrial automation. Key Responsibilities AI Architecture Leadership: Define and evolve Weyerhaeuser's enterprise AI and agentic architecture to enable scalable, secure, and interoperable AI solutions across business domains. Establish standards for multi-agent ecosystems, generative AI reasoning pipelines, and MCP-based interoperability to support dynamic, context-aware AI applications that deliver measurable business outcomes. AI Platform and Framework Design: Architect and implement the foundational platform for Agentic and classic AI, encompassing model orchestration, retrieval-augmented generation (RAG), memory systems, and Agent-to-Agent (A2A) communication frameworks. This includes support for traditional machine learning and optimization models that remain critical for forecasting, control, and decision-support use cases. Ensure alignment with enterprise data platforms, governance standards, and Responsible AI principles while enabling experimentation, automation, and adaptive learning across ML models, generative systems, and intelligent agents. Cross-Functional Collaboration: Partner with business, data, product, and engineering teams (internal and external) to translate business opportunities into technical architectures that accelerate AI delivery. Collaborate with IT, cybersecurity, and enterprise architects to ensure AI systems integrate safely and sustainably within Weyerhaeuser's technology ecosystem. Mentorship and Evangelism: Guide engineers, data scientists, and solution architects in applying architectural best practices for AI and MLOps. Evangelize AI innovation through internal knowledge sharing, cross-functional partnerships, and external collaborations. Responsible and Governed AI: Embed Weyerhaeuser's Responsible AI principles - including safety, transparency, sustainability, and accountability - into every stage of the AI lifecycle. Bolster governance practices covering model lineage, monitoring, explainability, and continuous improvement. AI Systems Integration: Architect and oversee the integration of AI models, services, and agents into enterprise systems such as SAP, ServiceNow, Snowflake, and Azure, ensuring interoperability, reliability, and performance across applications, data, and workflows. Innovation and Scalability: Evaluate and prototype emerging AI technologies - including multi-agent systems, large language models, and generative AI platforms - to identify new opportunities for operational excellence and workforce augmentation. Standards, Tools, and Best Practices: Define and promote development standards, reusable components, and reference architectures that enable consistency, security, and speed across all AI initiatives. Champion modular, cloud-native, and API-driven design principles. Performance and Cost Optimization: Design architectures that balance compute efficiency, latency, and cost, ensuring AI systems deliver sustained business value at scale. Qualifications: Education: Bachelor's degree in Computer Science, Engineering, or a related field; Master's or PhD in AI, Data Science, or a similar discipline preferred. Experience: 8+ years of experience in AI architecture, data science, or software engineering, including large-scale production deployments of machine learning, deep learning, or AI-driven systems in enterprise environments. Architecture & Integration: Demonstrated ability to design cloud-native and edge AI architectures, integrating models, APIs, and agents into enterprise technology such as SAP, ServiceNow, Snowflake, AWS, and Azure. Proficiency with multi-agent orchestration using Model Context Protocol (MCP), Agent-to-Agent (A2A) interaction models, retrieval-augmented generation (RAG), vector databases, and context memory architectures. Technical Expertise: Proven experience designing and implementing enterprise-grade AI platforms leveraging both classic ML techniques (forecasting, optimization, predictive modeling) and modern generative and agentic frameworks. Proficiency with cloud-scale AI ecosystems such as Microsoft Copilot Azure, OpenAI, AWS, or GCP, and strong familiarity with Snowflake, SAP, and modern data-governance platforms. Programming & Tools: Proficiency in Python and familiarity with SQL, R, or Java. Hands-on experience with frameworks such as PyTorch, TensorFlow, scikit-learn, XGBoost, and Hugging Face, and workflow orchestration or MLOps tools (e.g., MLflow, Kubeflow, Airflow). Industrial & Edge AI: Experience deploying AI in manufacturing or field environments using IIoT data, sensor networks, and edge-compute platforms to enable real-time optimization and automation. Geospatial AI: Awareness of geospatial data and AI applications (e.g., LiDAR, satellite imagery, and ESRI platforms) and how they inform resource management, sustainability, and operational planning. Governance & Responsible AI: Experience implementing governance, monitoring, and Responsible AI practices that ensure safety, transparency, and reliability. Collaboration & Leadership: Strong communicator and collaborator with the ability to translate business goals into technical architectures and influence cross-functional teams. Strategic Mindset: Ability to align AI architecture decisions with business outcomes, operational efficiency, and sustainability objectives. Continuous Learning: Committed to staying current with advances in AI, industrial automation, geospatial analytics, and cloud-edge integration. Compensation: This role is eligible for our annual merit-increase program, and we are targeting a salary range of $135,500-$203,300 based on your level of skills, qualifications and experience. You will also be eligible for our Annual Incentive Program, which offers a cash bonus targeting 25% of base pay. Potential plan funding may range from zero to two times that target. This position is also eligible to receive between $32,000 in restrictive stock units on an annual basis, as part of our Long Term Incentive Plan. Benefits: When you join our team, you and your dependents will be offered coverage under our comprehensive employee benefits plan, which includes medical, dental, vision, short and long-term disability, and life insurance. We offer a pre-tax Health Savings Account option which includes a company contribution. Other benefit options are also available such as voluntary Long-Term Care and Employee Assistance Programs. We also support personal volunteerism, sponsor a host of diversity networks, promote mentoring, and provide training and development opportunities to help you chart your path to a fulfilling career. Retirement: Employees are able to enroll in our company's 401k plan, which includes a paid company match in addition to our annual contribution equal to 5% of your base salary. Paid Time Off or Vacation: We provide eligible employees who are scheduled to work 25 hours or more per week with 3-weeks of paid vacation to use during your first year of employment. In addition, after being employed for six months, eligible employees begin to accrue vacation for future use. We also recognize eleven paid holidays per year, providing a total of 88 holiday hours and paid parental leave for all full-time employees. Attention Internal Applicants: To ensure transparency across the organization, please have a discussion with your manager prior to applying for any new opportunities. If you need any help facilitating this conversation, please reach out to your HR Representative for guidance. For more information on how to apply, including best practices for updating your profile or partnering with HR and Recruiting, please visit our internal applicant page on Roots: Weyerhaeuser is an equal opportunity employer. Inclusion is one of our five core values and we strive to maintain a culture where all our people feel a sense of belonging, opportunity and shared purpose. We are committed to recruiting a diverse workforce and supporting an equitable and inclusive environment that inspires people of all backgrounds to join, stay and thrive with our team.
Summary: The Project Manager is a part of Access Health CT's Enterprise Project Management Office (AHCT EPMO). S/he is responsible for management of projects with a moderate to high risk impact on external business partners and/or AHCT customers, exclusive of technology-based projects. The Project Manager leads the evaluation of projects 5 perspectives: business (functional, data and security), technology, financial, delivery, and political within the State of Connecticut and federal environment. The Project Manager develops comprehensive project plans including timeline, budget, success markers, tracking and task owners. S/he is responsible for oversight of delivery performed by internal teams, business partners, and vendors while ensuring the project aligns with AHCT's vision. This position reports to the EPMO Associate Director and has no direct reports. AHCT utilizes a hybrid schedule. This position is in-office on Tuesdays and Wednesdays without exception. Responsibilities: Ensure that all assigned projects are delivered on-time, within scope and within budget Define the project scope and objectives, involving the input all relevant stakeholders and ensuring feasibility Ensure resource availability and allocation Develop detailed project plans to monitor and track progress Manage changes to the project scope, project schedule and project costs using appropriate verification techniques Delegate work and assignments to team members based on expertise, work experience, and time constraints. Proactively set the direction of the projects and manage them using PMI framework Manage projects using Agile, Waterfall, or Hybrid methodologies Responsible for resource utilization within and across work teams Meet budgetary objectives and make adjustments to project constraints based on financial analysis Assist others to identify solutions to issues that negatively impact project plan Identify gaps and recommend enhancements related to new and/or existing initiatives, services, and workflows based on the end to end view Responsible for developing alternatives to resolve issues and communicate effectively with all levels of management Identifies key requirements needed from cross-functional teams and external vendors Track project performance, specifically to analyze the successful completion of short and long-term goals Accountable for delivering against established business goals/objectives Conducts cost analysis, estimating expected costs for the project Conducts risk assessments, report identified risks to the management team; provides recommendations for mitigation of risk (including termination of the project if appropriate) Addresses questions, concerns, and/or complaints throughout the project. Communicates and collaborates with sales and marketing teams to provide training and information required to promote and sell new projects, programs, and systems. Ensures compliance with federal, state, local, industry, contractual, and company regulations, standards, specifications, and best practices Provides clerical support to projects, especially system releases, by uploading and managing project documents and obtaining timely stakeholder sign-off Other duties as required Qualifications : the requirements listed below are representative of the knowledge, skill, and/or ability required. Bachelor's degree in related field, which may include Computer Science, Business, or Engineering or equivalent experience is required 4 - 7 years of related experience in managing projects is required PMP, PgMP, CAPM, and/or comparable project management certifications is highly desirable Strong team player; ability to deliver tasks through people Strong analytical and problem-solving skills Strong supervisory and leadership skills Ability to prioritize tasks and to delegate them when appropriate Thorough understanding of or the ability to quickly learn about the project or product being developed Experience in managing projects in Healthcare industry is highly desirable Excellent verbal and written communication skills Excellent interpersonal and customer service skills Excellent organizational skills and attention to detail Excellent time management skills with a proven ability to meet deadlines Proficient with Microsoft Office Suite or related software Physical Demands : the physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is frequently required to sit at a desk/table working on a computer, hear, use hands to type data, and utilize a phone or other electronic communication devices. This employee may occasionally have to operate business machines. Specific vision abilities required in this job include close vision and the ability to adjust focus. Work Environment : this is an in-office role 2 days per week in which the noise level in the work environment is usually low, and remote work 3 days per week. Requires fast-paced deadlines and has a high stress at times. Occasional work outside of normal business hours. Requires minimal to no travel. Equal Opportunity and Affirmative Action Employer This document does not create an employment contract, implied or otherwise, other than an "at will" relationship PI17b178d93fd3-4237
01/08/2026
Full time
Summary: The Project Manager is a part of Access Health CT's Enterprise Project Management Office (AHCT EPMO). S/he is responsible for management of projects with a moderate to high risk impact on external business partners and/or AHCT customers, exclusive of technology-based projects. The Project Manager leads the evaluation of projects 5 perspectives: business (functional, data and security), technology, financial, delivery, and political within the State of Connecticut and federal environment. The Project Manager develops comprehensive project plans including timeline, budget, success markers, tracking and task owners. S/he is responsible for oversight of delivery performed by internal teams, business partners, and vendors while ensuring the project aligns with AHCT's vision. This position reports to the EPMO Associate Director and has no direct reports. AHCT utilizes a hybrid schedule. This position is in-office on Tuesdays and Wednesdays without exception. Responsibilities: Ensure that all assigned projects are delivered on-time, within scope and within budget Define the project scope and objectives, involving the input all relevant stakeholders and ensuring feasibility Ensure resource availability and allocation Develop detailed project plans to monitor and track progress Manage changes to the project scope, project schedule and project costs using appropriate verification techniques Delegate work and assignments to team members based on expertise, work experience, and time constraints. Proactively set the direction of the projects and manage them using PMI framework Manage projects using Agile, Waterfall, or Hybrid methodologies Responsible for resource utilization within and across work teams Meet budgetary objectives and make adjustments to project constraints based on financial analysis Assist others to identify solutions to issues that negatively impact project plan Identify gaps and recommend enhancements related to new and/or existing initiatives, services, and workflows based on the end to end view Responsible for developing alternatives to resolve issues and communicate effectively with all levels of management Identifies key requirements needed from cross-functional teams and external vendors Track project performance, specifically to analyze the successful completion of short and long-term goals Accountable for delivering against established business goals/objectives Conducts cost analysis, estimating expected costs for the project Conducts risk assessments, report identified risks to the management team; provides recommendations for mitigation of risk (including termination of the project if appropriate) Addresses questions, concerns, and/or complaints throughout the project. Communicates and collaborates with sales and marketing teams to provide training and information required to promote and sell new projects, programs, and systems. Ensures compliance with federal, state, local, industry, contractual, and company regulations, standards, specifications, and best practices Provides clerical support to projects, especially system releases, by uploading and managing project documents and obtaining timely stakeholder sign-off Other duties as required Qualifications : the requirements listed below are representative of the knowledge, skill, and/or ability required. Bachelor's degree in related field, which may include Computer Science, Business, or Engineering or equivalent experience is required 4 - 7 years of related experience in managing projects is required PMP, PgMP, CAPM, and/or comparable project management certifications is highly desirable Strong team player; ability to deliver tasks through people Strong analytical and problem-solving skills Strong supervisory and leadership skills Ability to prioritize tasks and to delegate them when appropriate Thorough understanding of or the ability to quickly learn about the project or product being developed Experience in managing projects in Healthcare industry is highly desirable Excellent verbal and written communication skills Excellent interpersonal and customer service skills Excellent organizational skills and attention to detail Excellent time management skills with a proven ability to meet deadlines Proficient with Microsoft Office Suite or related software Physical Demands : the physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is frequently required to sit at a desk/table working on a computer, hear, use hands to type data, and utilize a phone or other electronic communication devices. This employee may occasionally have to operate business machines. Specific vision abilities required in this job include close vision and the ability to adjust focus. Work Environment : this is an in-office role 2 days per week in which the noise level in the work environment is usually low, and remote work 3 days per week. Requires fast-paced deadlines and has a high stress at times. Occasional work outside of normal business hours. Requires minimal to no travel. Equal Opportunity and Affirmative Action Employer This document does not create an employment contract, implied or otherwise, other than an "at will" relationship PI17b178d93fd3-4237
Date Posted: 2025-12-10 Country: United States of America Location: PW106: Clayville 2395 Main Street, Clayville, NY, 13322 USA Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract. Security Clearance: None/Not Required Pratt & Whitney is working to once again transform the future of flight-designing, building and servicing engines unlike any the world has ever seen. And because transformation begins from within, we're seeking the people to drive it. So, calling all curious. Come ready to explore and you'll find a place where your talent takes flight-beyond the borders of title, a country or your comfort zone. Bring your passion and commitment and we'll welcome you into a tight-knit team that takes our mission personally. Channel your drive to make a difference into shaping an organization and an industry that's evolving fast to the future. At Pratt & Whitney, the difference you make is on display every day. Just look up. Are you ready to go beyond? What You Will Do: Pratt & Whitney is seeking a Senior Manufacturing Engineer, Atomization, to work onsite at our Clayville, New York campus to drive process control and improve the company's quality and delivery signature. Break down complicated systems into individual pieces to improve productivity Visualize improvement opportunities and convert into processes that meet aerospace quality standards With assistance from the Engineering Manager, determine justification, develop project schedules and identify opportunities and risks associated with ideas; develop risk mitigation strategies to manage risk Prepare technical specifications and other documents that can be used to procure technical services and products or work instructions Responsible for projects and/or multiple tasks within functional discipline making for significant contribution to their team by applying their knowledge Qualifications You Must Have: Bachelor's Degree in in a STEM field and 5 or more years' experience in an engineering, manufacturing operations, materials management, project management, or closely related industrial environment OR a Masters' Degree and minimum 3 or more years' experience in an engineering, manufacturing operations, materials management, project management, or closely related industrial environment Experience with Microsoft Office products (Word, Excel, Outlook, etc.) Familiar with mechanical design, pneumatics/hydraulic, thermodynamics, fluid dynamics and heat transfer. Demonstrated understanding of the fundamentals of the discipline and role including statistical process control and data analytics. Knowledge of manufacturing and assembly processes Qualifications We Prefer: Engineering degree (chemical, manufacturing, material science, mechanical, etc.) Understanding of continuous improvement tools such as Six Sigma and LEAN What is my role type? In addition to transforming the future of flight, we are also transforming how and where we work. We've introduced role types to help you understand how you will operate in our blended work environment. This role is: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance workers, as they are essential to the development of our engines. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 82,000 USD - 164,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
01/08/2026
Full time
Date Posted: 2025-12-10 Country: United States of America Location: PW106: Clayville 2395 Main Street, Clayville, NY, 13322 USA Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract. Security Clearance: None/Not Required Pratt & Whitney is working to once again transform the future of flight-designing, building and servicing engines unlike any the world has ever seen. And because transformation begins from within, we're seeking the people to drive it. So, calling all curious. Come ready to explore and you'll find a place where your talent takes flight-beyond the borders of title, a country or your comfort zone. Bring your passion and commitment and we'll welcome you into a tight-knit team that takes our mission personally. Channel your drive to make a difference into shaping an organization and an industry that's evolving fast to the future. At Pratt & Whitney, the difference you make is on display every day. Just look up. Are you ready to go beyond? What You Will Do: Pratt & Whitney is seeking a Senior Manufacturing Engineer, Atomization, to work onsite at our Clayville, New York campus to drive process control and improve the company's quality and delivery signature. Break down complicated systems into individual pieces to improve productivity Visualize improvement opportunities and convert into processes that meet aerospace quality standards With assistance from the Engineering Manager, determine justification, develop project schedules and identify opportunities and risks associated with ideas; develop risk mitigation strategies to manage risk Prepare technical specifications and other documents that can be used to procure technical services and products or work instructions Responsible for projects and/or multiple tasks within functional discipline making for significant contribution to their team by applying their knowledge Qualifications You Must Have: Bachelor's Degree in in a STEM field and 5 or more years' experience in an engineering, manufacturing operations, materials management, project management, or closely related industrial environment OR a Masters' Degree and minimum 3 or more years' experience in an engineering, manufacturing operations, materials management, project management, or closely related industrial environment Experience with Microsoft Office products (Word, Excel, Outlook, etc.) Familiar with mechanical design, pneumatics/hydraulic, thermodynamics, fluid dynamics and heat transfer. Demonstrated understanding of the fundamentals of the discipline and role including statistical process control and data analytics. Knowledge of manufacturing and assembly processes Qualifications We Prefer: Engineering degree (chemical, manufacturing, material science, mechanical, etc.) Understanding of continuous improvement tools such as Six Sigma and LEAN What is my role type? In addition to transforming the future of flight, we are also transforming how and where we work. We've introduced role types to help you understand how you will operate in our blended work environment. This role is: Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance workers, as they are essential to the development of our engines. As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 82,000 USD - 164,000 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Bowhead / UIC Technical Services
Dahlgren, Virginia
Overview Program Manager (ILO-1): Bowhead is seeking to network with an experienced Program Manager to oversee the technical and administrative aspects of Government contract performance. The ideal candidate will have a strong background in contract management, excellent communication skills, and the ability to manage diverse teams effectively. Why Bowhead? Competitive salary and benefits package. Opportunity to work on cutting-edge projects in a dynamic and supportive environment. Career growth and professional development opportunities. Responsibilities Job duties will include but are not limited to: Oversee the timeliness and quality of contract services and data deliverables. Manage contract schedules and costs to ensure compliance with project objectives. Interface effectively with customers to deliver quality products on time and within budget. Plan, design, coordinate, and control the progress of project work to meet sponsor objectives. Manage a diverse technical workforce and team with multiple skill sets. Qualifications Bachelor's Degree or Program Management Certificate from an accredited college or university in an engineering, scientific, business, or technical discipline. Minimum of ten (10) years of contract management experience, with a focus on both technical and administrative aspects. Proven ability to interface effectively with customers and deliver quality products on time and within budget. Demonstrated ability to plan, design, coordinate, and control project work to meet sponsor objectives. Skills and Competencies Strong leadership and team management skills. Excellent organizational and multitasking abilities. Effective communication and interpersonal skills. Proficient in project management software and tools. SECURITY CLEARANCE REQUIREMENTS: Must currently hold an active Secret security clearance. US Citizenship is a requirement for Secret clearance at this location. Physical Demands: • Must be able to lift up to 25 pounds • Must be able to stand and walk for prolonged amounts of time • Must be able to twist, bend and squat periodically
01/07/2026
Full time
Overview Program Manager (ILO-1): Bowhead is seeking to network with an experienced Program Manager to oversee the technical and administrative aspects of Government contract performance. The ideal candidate will have a strong background in contract management, excellent communication skills, and the ability to manage diverse teams effectively. Why Bowhead? Competitive salary and benefits package. Opportunity to work on cutting-edge projects in a dynamic and supportive environment. Career growth and professional development opportunities. Responsibilities Job duties will include but are not limited to: Oversee the timeliness and quality of contract services and data deliverables. Manage contract schedules and costs to ensure compliance with project objectives. Interface effectively with customers to deliver quality products on time and within budget. Plan, design, coordinate, and control the progress of project work to meet sponsor objectives. Manage a diverse technical workforce and team with multiple skill sets. Qualifications Bachelor's Degree or Program Management Certificate from an accredited college or university in an engineering, scientific, business, or technical discipline. Minimum of ten (10) years of contract management experience, with a focus on both technical and administrative aspects. Proven ability to interface effectively with customers and deliver quality products on time and within budget. Demonstrated ability to plan, design, coordinate, and control project work to meet sponsor objectives. Skills and Competencies Strong leadership and team management skills. Excellent organizational and multitasking abilities. Effective communication and interpersonal skills. Proficient in project management software and tools. SECURITY CLEARANCE REQUIREMENTS: Must currently hold an active Secret security clearance. US Citizenship is a requirement for Secret clearance at this location. Physical Demands: • Must be able to lift up to 25 pounds • Must be able to stand and walk for prolonged amounts of time • Must be able to twist, bend and squat periodically