Enterprise AI Transformation Manager

Responsibilities: Design and architect AI solutions (multi-agent systems, LLM integrations, RAG pipelines) and shepherd them to production Own AI quality, observability, risk assessment, and compliance for enterprise deployments Shape the foundation for agentic transformation (integration patterns, data foundations, platform alignment) Apply AI-assisted engineering and AI coding agents to accelerate delivery and governance Translate requirements into architecture decisions and contribute to ROI and token cost modeling Lead delivery workstreams end-to-end (scope, tasks, risks, reporting) Develop and manage client relationships with senior stakeholders Support business development through proposals, solution shaping, and presentations Coach and build the practice by documenting patterns and creating reusable assets Travel as needed (50–80% varying by engagement) Key requirements ≥5 years in technology consulting, software engineering, or enterprise architecture ≥5 years of hands-on software development with production deployments ≥5 years of IT project or cross-functional team leadership ≥1 year building agentic/LLM-based systems in production ≥1 year using AI coding agents (e.g., Claude Code, GitHub Copilot, Cursor) Familiarity with at least one vertical (financial services, healthcare, retail, logistics, or public sector) Bachelor's degree or equivalent work experience (or Associate’s with 6+ years) Client relationship building with senior stakeholders Clear communication of technical decisions and options Cross-functional collaboration and problem solving LLM APIs (Claude/Anthropic, GPT-4) Agentic frameworks (LangChain, LlamaIndex) MCP Server/Client