Chief AI Engineer
Job DescriptionWhat You Will Do- Lead 2-5 concurrent client engagements or one flagship transformation. Own outcomes - production adoption and measurable workflow impact - not just deliverables.
- Be the trusted technical advisor to client executives (CIO, CDO, Chief AI Officer, CFO). Strategy in the morning, working demo in the afternoon.
- Architect and build the hardest parts of the hardest problems alongside your team. We will ask you to walk us through code you have written in the last 30 days.
- Deliver production-grade technical artifacts: agentic workflows, MCP servers, sub-agents, agent skills, evaluation frameworks, and the integrations that make them work inside client systems.
- Grow and develop a team of Forward Deployed Engineers. Recruit, coach, set the bar, and create the environment where strong engineers do the best work of their careers.
- Shape Genpact's Applied AI offerings, reusable IP, and go-to-market. Codify what works on one engagement into patterns the whole practice can reuse.
- Partner with Anthropic and other strategic AI partners on co-sell motions, joint solutioning, and customer success.
What We Are Looking For- Experience in software engineering, applied AI, data, or product, with clear evidence of leading technical work and growing other builders.
- Has been the primary architect on at least one AI, data, or software effort that shipped to real users at meaningful scale.
- Daily, sophisticated working fluency with Claude (or comparable frontier LLM) as a primary build tool. You have opinions about context engineering, tool use, agent design, and evaluations - and you can defend them.
- Production LLM experience: prompt engineering, agent development, evaluation frameworks, and deployment at scale.
- Strong programming skills in Python, ideally with a second language such as TypeScript or Java. Comfortable shipping production code.
- Executive presence. Can run a room with a CIO and a CFO without needing a slide deck to hide behind. Can translate technical complexity into clear narratives for diverse audiences.
- Track record of hiring and developing strong technical talent. People who have worked for you want to work for you again.
- High agency. Thrives in ambiguity and is energized by building something that does not yet exist.
QualificationsCertificationsRequired SkillsAI/ML Ops
LanguageEnglish (Required)
Language Proficiency - Proficient - C2
Additional Job Location - Job TypeRegular
Master Skill List - Advanced Analytics / AI / ML
Remote Type - Hybrid
Work Shift - Any (United States of America)
The approximate annual base compensation range for this position is:165,300 to 235,000 USD
"Los Angeles California-based candidates are not eligible for this role"
The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant's experience, knowledge, skills, and abilities; geographic location; and internal equity.
