AI SDLC Engineer

Description:
Remote
Our client is launching an initiative to establish a consistent, measurable, and governed approach to using AI across the software development lifecycle. As an AI SDLC Engineer, you will embed with a Performance Squad to assess current workflows, improve AI-assisted engineering practices across development, testing, pull requests, and delivery, and help establish standards, governance controls, KPIs, and reusable documentation that can scale beyond the pilot.
We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $110.00 to $120.00/hr. w2
JN -94
Responsibilities:

• Assess current engineering workflows, development tools, and AI usage.
• Identify opportunities to reduce manual effort and improve engineering productivity through AI.
• Apply AI-assisted practices across requirements refinement, code generation, automated testing, code review, pull-request validation, and technical documentation.
• Work 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.
• Maintain appropriate human ownership, independent review, traceability, and auditability for AI-assisted changes.
• Define and track KPIs related to AI adoption, delivery velocity, utilization, quality, and production impact.
• Create technical standards, playbooks, implementation guidance, and operating procedures.
• Translate technical findings and outcomes into clear updates for engineering leadership.
• Help establish an operating model that can be expanded to additional engineering teams.

Experience Requirements:

• Senior-level, hands-on software engineering experience supporting production applications.
• Demonstrated experience using generative AI or AI-assisted development tools within active software engineering environments.
• Experience applying AI across multiple stages of the SDLC.
• Strong understanding of source control, pull requests, automated testing, CI/CD, and DevOps.
• Experience working directly with Agile or Scrum engineering 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 improving workflows, quality, productivity, or delivery speed through AI.
• 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, quality, utilization, or production impact.
• Strong coaching skills and ability to drive 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.

Recruitment Transparency Notice

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process.
Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.
W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
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About Eliassen Group:
Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.
Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.
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