DevGen.AI Lead Product Engineer-Executive Director
Core
Lead product execution, engineering enablement, and customer adoption for DevGen.AI, an internal enterprise platform turning AI experimentation into governed, production-ready business impact.
Role type
Executive Director, Lead Product Engineer (Generative AI Platform)
Builds
Enterprise AI platform capabilities, reusable agents, prompts, patterns, accelerators, and APIs for internal users.
Domain
Financial Services / Generative AI / Enterprise Platform Engineering
Deliverable
production ML models | product features
Required skills
Product engineering, Generative AI/LLMs, prompt engineering, agentic architectures, RAG patterns, responsible AI delivery, API design, cloud-native architecture, cross-functional leadership, enterprise platform delivery, technical documentation, community enablement.
Preferred skills
LangChain, LangGraph, Semantic Kernel, MCP, multi-agent orchestration, vector search, Azure OpenAI, AWS Bedrock, Google Vertex AI, InnerSource, model evaluation, risk controls, usage analytics.
Responsibilities
Lead product execution across platform capabilities and adoption workflows; partner with engineering and governance to move use cases from experimentation to enterprise-scale implementation; orchestrate high-value demand intake and translate needs into product backlog themes; drive the Innovate → Incubate → Implement lifecycle including feasibility validation and production readiness; build rapid prototypes and reusable reference implementations; enable responsible AI adoption through governance coordination; champion InnerSource contribution practices; lead community enablement and knowledge sharing; track and improve adoption and ROI metrics.
Seniority
Executive Director, hands-on IC with strategic leadership
