AI SDLC Engineer

Eliassen Group; United States; Remote; USD 152,000 - 165,000; Full time

Benefits offered by this job

Medical, Dental, and Vision benefits

401k with company matching

Life insurance

Job summary

Eliassen Group is seeking an AI SDLC Engineer to join a remote initiative establishing governance and measurable AI practices across the software development lifecycle. You will embed with a Performance Squad to assess workflows, improve AI-assisted engineering, and create scalable standards, KPIs, and documentation.

The role requires senior hands-on software engineering experience, expertise with AI-assisted development, and the ability to work remotely across US time zones.

Qualifications

• Senior software engineer with hands-on production experience.
• Experience using generative AI or AI-assisted development tools.
• Experience applying AI across SDLC stages.
• Strong understanding of source control, CI/CD, and DevOps.
• Experience collaborating with Agile/Scrum teams.

Responsibilities

• Assess current engineering workflows, development tools, and AI usage.
• Identify opportunities to reduce manual effort and improve productivity with AI.
• Apply AI practices across requirements, coding, testing, reviews, and documentation.
• Collaborate with engineers on active code, PRs, testing, and delivery decisions.
• Integrate AI into SDLC, CI/CD, DevOps, and quality engineering workflows.
• Coach developers through hands-on implementation and collaboration.
• Define standards and controls for responsible AI-assisted software development.
• Maintain human ownership, traceability, and auditability for AI changes.
• Define and track KPIs related to AI adoption and production impact.
• Create technical standards, playbooks, and operating procedures.

Skills

Senior-level software engineering

Generative AI

AI-assisted development

SDLC/CI-CD/DevOps

Agile/Scrum

Strong communication

Remote work experience

Tools

Git / Source control

CI/CD tooling

Testing automation

Job description

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.

Rate: $110.00 to $120.00/hr. w2

• Medical, Dental, and Vision benefits


• 401k with company matching


• Life insurance

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.