Ekman Associates, Inc

Job Description Title: Sr. Artificial Intelligence Security Engineer Location: Remote Ekman Associates is a management consulting firm that specializes in developing business, digital, and technology strategy, delivering solutions, and addressing human resource demands. Summary: Looking for a Sr. AI Security Engineer to lead the establishment, maturation, and oversight of a unified framework for AI security. This role will directly influence enterprise strategy, regulatory exam readiness, risk reduction, and overall data trust. In addition, you will establish, lead, and execute multi-year roadmaps to AI security, drawing upon cross-functional partnerships to deliver AI security posture reviews on a repeatable basis and review new uses of AI as systems are developed. Responsibilities: Execute multi-year roadmaps to data security, drawing upon cross-functional partnerships to deliver data security posture reviews on a repeatable basis and review new data systems as they're developed. Lead the enterprise AI Security program, defining policies, standards, and best practices. Adopt and operationalize tools that provide visibility and control over AI access and behaviors. Defend against prompt injection, jailbreaking, and indirect prompt injection. Advise on methods to filter and guardrail models to prevent the generation of toxic or restricted content. Implement methods to reduce the risk of data loss through AI. Introduce AI security control points into the CI/CD pipeline, including securing internal codebases and the use of third-party dependencies. Assist in the formation of the AI Center of Excellence. Assess, build, configure and deploy solutions to detect and react to anomalous model behavior. Provide insight into how best to position security operations to detect and respond to AI-specific breaches. Contribute to general security architecture and engineering duties undertaken by DTM team. Oversee data quality, metadata management, and issue remediation functions to improve data integrity and trust. Lead enterprise-wide risk assessments relating to data management, protection, and quality. Provide strategic leadership on data-driven transformation initiatives, ensuring governance is built into system modernization, cloud adoption, and digital initiatives. Qualifications: AI/ML Frameworks and Services: Such as LangChain, PyTorch, and AWS Bedrock / SageMaker, Google Vertex AI AI Security Frameworks and Related: NIST AI RMF, MITRE ATLAS, Google SAIF, OWASP Top 10 for LLM Applications Security Tools: DSPM, SAST, SCA, DAST, SSPM, NHI Security, etc. Development: Python, and general AI development work Cloud Security: AWS, GCP 5+ years of experience in Cyber Security; Strong command of security and security architecture concepts. Deep understanding of AI and relevance to security. Relevant certifications a plus. Qualified Candidates Only : If you wish to learn more about this opportunity and additional qualifications/responsibilities, please submit your resume. To learn more about Ekman Associates, Inc. please visit our website at

Job Description Title: Sr. Product Security Engineer Location: Remote Ekman Associates is a management consulting firm that specializes in developing business, digital, and technology strategy, delivering solutions, and addressing human resource demands. Summary: The Application and Product Security team is looking for an Sr. Product Security Engineer to lead the protection and defense of digital applications and product ecosystem with an emphasis on securing artificial technology (AI). This role will focus on detecting, mitigating, and responding to AI-related security threats, ensuring that applications and services remain resilient against AI-cyber threats. Responsibilities: Help the team establish, lead, and execute multi-year roadmaps to mature AI security, drawing upon cross-functional partnerships to deliver security posture reviews on a repeatable basis and review new AI systems as they're developed. Conduct application and product security evaluations and lead AI security assessments in a cross-functional environment, driving finding remediations; Secure AI Development Lifecycle: Procure and/or build technical solutions to embed automated security checks into the AI SDLC and ML-Ops; AI Threat Modeling: Threat model complex Agentic and AI systems and design security requirements collaboratively with developers, architects, and business stakeholders; Code Analysis: Review code for security bugs in the context of AI-driven systems; GRC: Provide leadership for AI Security policies and standards in collaboration with technology risk; AI/Agent SME: Provide AI/Agent subject matter expertise for AI Incidents and Security Reviews, and help develop incident response playbooks for AI-related security incidents; and, Assist in the formation of an AI Center of Excellence (ACE). Qualifications: 10+ years experience in product security, application security, and/or DevSecOps; You have strong knowledge of security of safety risks of LLMs and AI Agents; You have 5+ Years of experience automating security checks, including SAST, SCA, and DAST, directly into CI/CD pipelines; Extensive experience with STRIDE or other threat modeling frameworks; You have knowledge and experience with technologies including K8s, Containers, CI/CD, and CSPs Familiarity with function and purpose of key AI platform components such as AI gateways (Kong, Databricks Mosaic AI Gateway, custom API orchestration), Model Orchestration (Examples LangChain, LlamaIndex, etc.). Qualified Candidates Only : If you wish to learn more about this opportunity and additional qualifications/responsibilities, please submit your resume. To learn more about Ekman Associates, Inc. please visit our website at