AI Lead Delivery & Engineering

Key Responsibilities Delivery & Architecture Own end-to-end delivery of AI-native programs - from architecture through production deployment Design and build multi-agent orchestration systems using LangChain, LangGraph, CrewAI, or equivalent Integrate agent systems with enterprise surfaces: APIs, ERPs, CRMs, data platforms - not toy datasets Define agent topology: tool routing, memory strategy, state machines, fallback handling Agentic Coding & Development Run agentic coding workflows using Claude Code, Cursor, OpenAI Codex, or equivalent CLI tools Lead projects where AI writes significant portions of the codebase - and you guide, review, and ship it Work with CLAUDE.md, shared context frameworks, and multi-session agent setups for team use Debug non-deterministic agent outputs systematically - not by gut feel Client & Stakeholder Engagement Translate business problems into agent architectures for global CXO-level stakeholders Run discovery workshops, solution reviews, and delivery cadences with client teams Prepare and present technical proposals, POC plans, and roadmaps - own the story end-to-end Team & Practice Mentor junior AI engineers; raise AI engineering quality across the delivery team Stay current: evaluate new models, frameworks, and tooling before the hype catches up Contribute to internal knowledge bases, reusable frameworks, and accelerators Agent Orchestration LangChain, LangGraph, CrewAI - not just conceptual Agentic Coding Tools Claude Code CLI, Cursor, OpenAI Codex, Copilot RAG & Vector Stores Chroma, Weaviate, Pinecone - knows where RAG breaks LLM APIs & SDKs Anthropic, OpenAI, Gemini - prompt design, tool use Python / TypeScript Primary languages for agent + backend development LangSmith / Observability Tracing, evaluation, debugging agent runs Cloud Platforms Azure, AWS, GCP (at least one) - deployment, infra, managed services API & System Integration REST, gRPC, Kafka - enterprise integration patterns MCP / Shared Context Model Context Protocol, CLAUDE.md, Beads Agent Evaluation Testing non-deterministic outputs, guardrails, evals CI/CD & DevOps Git, containers, pipelines - agents need to ship Client Communication Can present architecture to a CXO without jargon