AI SDLC Engineer

Eliassen Group; Phoenix (AZ); Remote; USD 315,195,000 - 343,849,000; Full time

Benefits offered by this job

Medical, Dental, Vision benefits

401k with company matching

Life insurance

Job summary

Eliassen Group is seeking an AI SDLC Engineer for a remote, consulting-based engagement. You will embed with a Performance Squad to standardize AI-enabled SDLC practices, govern AI usage, and deliver measurable improvements across development, testing, and delivery.

You will collaborate with engineers, establish governance controls, KPIs, and reusable documentation, and support both W2 and corp-to-corp consultants. Strong communication and a track record of AI adoption are essential.

Qualifications

• Senior-level software engineering experience in production apps.
• Experience using generative AI or AI-assisted development tools.
• Strong knowledge of SDLC, source control, CI/CD, and DevOps.

Responsibilities

• Assess current engineering workflows, development tools, and AI usage.
• Identify opportunities to reduce manual effort and improve productivity with AI.
• Apply AI-assisted practices across requirements refinement, code generation, automated testing, code review, PR validation, and documentation.
• Work directly with engineers on active code, PRs, 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 human ownership, independent review, traceability, and auditability for AI changes.
• Define and track KPIs related to AI adoption, velocity, quality, and production impact.
• Create technical standards, playbooks, and operating procedures.

Skills

Senior-level software engineering

AI-assisted development

CI/CD / DevOps

Agile / Scrum

Collaboration and communication

Tools

Git

CI/CD tooling

Job description

AI SDLC Engineer

Anywhere

Type: Consulting

Category: Engineer

Industry: Communications

Workplace Type: Remote

Standard Hours: Open

Reference ID: JN -102026-108994

Date Posted: 10/08/2026

Shortcut: http://careers.eliassen.com/cJ8qVK

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 -102026-108994

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, and 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.

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.