AI Engineering Consultant Your Mission Lead AI adoption across the company and its clients by designing and implementing AI-native software engineering practices that materially improve delivery speed, quality, and cost efficiency. You will define how modern engineering teams use AI in production and turn that capability into repeatable client offerings.
This is a Staff/Principal individual contributor role with significant influence across internal teams, executive stakeholders, and client organizations.

Responsibilities
Define and implement AI-assisted engineering practices across the company's teams
Establish standards for AI code generation, PRs review, testing, and documentation Partner with delivery leadership to embed AI tools into the client teams
Advise CTOs and VP of Engineering on AI adoption strategy, tooling and engineering process
Mentor senior engineers on AI-assisted development process
Define the frameworks for measuring the developer productivity gains

Experience & Required Skills
10+ years of hands-on software engineering experience leading complex production initiatives. Experience driving engineering productivity or platform improvements across teams or organizations. Hands-on production experience with LLMs, AI coding tools, or agent-based systems, including trade-offs in quality, cost, latency, reliability, and model behavior.

Experience working in enterprise or regulated domains where security, compliance, and risk management shape engineering decisions.

Strong architectural skills across CI/CD, code review systems, testing strategies, and cloud-native environments (AWS/GCP).

Experience influencing engineering direction without direct authority across senior engineers, tech leads, and engineering leadership.

Ability to translate technical change into measurable business outcomes and communicate clearly with both engineers and executives.