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Lead and mentor a San Diego engineering team while staying hands-on building production LLM systems (RAG, agents, document processing). Drive architecture, evaluate models and tooling, own end-to-end delivery, collaborate with clients, and create reusable internal tooling and best practices to improve team performance and client outcomes.

Lead client discovery, define and prioritize AI use cases, analyze workflows, and design AI prototypes and process improvements. Collaborate with engineers to deliver solutions, manage project timelines and quality, train clients, support adoption, gather feedback, and iterate on outcomes. The role also requires tracking project progress, time, utilization, and efficiency across multiple client engagements.

Lead live AI training and hands-on workshops for executive and frontline client teams. Design curricula, training products, templates, delivery playbooks, and repeatable enablement systems using adult learning principles. Adapt technical AI concepts for nontechnical audiences, manage concurrent client engagements, gather delivery insights, and improve training processes. The role combines client facilitation with building Cadre AI’s scalable training practice and requires San Diego-based collaboration and travel.

Triage AI opportunities, shape technical solutions, write precise SOWs and internal handovers, identify reuse vs. new engineering, and coordinate sales and engineering to deliver scoped AI engagements (5–10 concurrently, 30–45 day cycles). Ensure delivery-ready documentation and flawless handoffs to implementation teams.

Embed with clients to discover high-impact AI opportunities, design and build production LLM/RAG/agent systems, deploy secure cloud services, create evaluation and observability tooling, and scale repeatable playbooks while managing client relationships and mentoring junior engineers.