AI SDLC Engineer

Salary: $228,800 - 249,600 per year Requirements: Senior-level, hands-on software engineering experience supporting production applications. Demonstrated experience using generative AI or AI-assisted development tools in active software engineering environments. Experience applying AI across multiple stages of the software development lifecycle. Strong understanding of source control, pull requests, automated testing, CI/CD, and DevOps. Experience working directly with Agile or Scrum teams during active sprint delivery. Ability to collaborate on active code, technical decisions, testing, and delivery workflows. Experience assessing engineering processes and implementing practical improvements. Experience using AI to improve workflows, quality, productivity, or delivery speed. Understanding of responsible AI principles, including accountability, security, quality controls, independent review, traceability, and auditability. Experience developing or implementing engineering standards, AI usage guidelines, governance controls, playbooks, or operating procedures. Experience defining or measuring outcomes related to AI adoption, productivity, velocity, utilization, quality, or production impact. Strong coaching skills and ability to encourage adoption through collaboration. Strong written and verbal communication skills for technical and leadership audiences. Based in and authorized to work in the United States. Ability to work remotely with flexible availability across Eastern and Pacific time zones. Responsibilities: Assess current engineering workflows, development tools, and AI usage. Identify opportunities to reduce manual effort and improve engineering productivity with AI. Apply AI-assisted practices to requirements refinement, code generation, automated testing, code review, pull-request validation, and technical documentation. Collaborate directly with engineers on active code, pull requests, testing, and delivery decisions. Integrate AI into existing SDLC, CI/CD, DevOps, and quality-engineering workflows. Coach developers through hands-on implementation and day-to-day collaboration. Establish practical standards and controls for responsible AI-assisted software development. Preserve human ownership, independent review, traceability, and auditability for AI-assisted changes. Define and track KPIs for AI adoption, delivery velocity, utilization, quality, and production impact. Create technical standards, playbooks, implementation guidance, and operating procedures. Communicate technical findings and outcomes clearly to engineering leadership. Help develop an operating model that can expand to other engineering teams. Technologies: AI CI/CD DevOps Security Support More: We are seeking a remote AI SDLC Engineer to join a Performance Squad for our clients initiative to create a consistent, measurable, and governed approach to AI use throughout the software development lifecycle. The role focuses on improving AI-assisted engineering practices and establishing standards, governance controls, KPIs, and reusable documentation that can scale beyond the pilot. We can engage consultants on W-2 or corp-to-corp terms. The posted W-2 rate is $110–$120 per hour; pay may vary based on skills, experience, and other compensable factors. Eligible W-2 employees scheduled for 30 or more hours per week may receive medical, dental, vision, retirement matching, insurance, and other benefits. We are Eliassen Group, a strategic consulting firm providing technology, business advisory, and life sciences solutions. We value inclusion and equal opportunity, and our recruitment process may use AI-supported screening with human recruiter review. last updated 41 week of 2026