AI Engagement Lead at Turing
$240,000–$260,000from the description
Jul 15, 2026
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Jul 21, 2026
What this job asks for AI summary
A senior technical leadership role overseeing end-to-end delivery of generative AI projects for large enterprise clients, from proof-of-concept through full-scale implementation. The position spans client relationship management, technical direction for engineering teams, sprint and program planning, and risk oversight. It suits an experienced AI/ML practitioner comfortable bridging hands-on technical knowledge — including agentic LLM systems and RAG architectures — with stakeholder communication and delivery governance.
Senior level · 10+ years · San Francisco-Oakland-Berkeley, CA · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 75 people in the San Francisco-Oakland-Berkeley, CA area plausibly meet what this posting asks for (computer and information systems managers). range 45–110
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
What the occupation pays Median $238,011 (middle half $208,323–$320,108). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
This role is a hybrid of technical leadership and client-facing delivery management — it leads a team of engineers end-to-end on GenAI projects for Fortune 500 clients. 11-3021 (Computer and Information Systems Managers) is the best fit given the explicit team leadership, client relationship ownership, and program oversight responsibilities; however, the role also demands deep hands-on GenAI/ML technical direction, making 15-1299 a plausible runner-up.
The 10+ years total experience requirement includes a sub-requirement of 4+ years specifically in ML/AI projects; the overall years minimum is set to 10 (the role-level gate).
LangChain and LangGraph are listed together as examples of agentic frameworks ('like Langchain, Langgraph, etc.'); LangGraph is captured as an alternative to LangChain since they serve the same agentic orchestration function.
Cloud platform requirement is stated as 'Azure, GCP, or AWS' — one cloud platform is required; Azure is listed as primary with GCP and AWS as alternatives.
JIRA and Confluence are listed together as examples of project management tools; Confluence is captured as an alternative since the requirement is for tooling in that category.
Multi-agent systems appear only in the company background narrative ('industry-leading multi-agent LLM systems') rather than in the required skills section, so it is marked preferred.
The posting does not specify remote work; the company is based in San Francisco and mentions a 5-days-a-week work culture, suggesting on-site or hybrid.
Read the full posting
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