Description

Key Responsibilities

• Define and execute AI platform adoption strategies; drive enterprise usage of LLMs, agent frameworks, APIs, and orchestration platforms
• Build prototypes, demos, proof-of-concepts, and production-ready AI solutions working directly with business teams
• Design RAG systems, vector search, multi-agent systems, tool-calling workflows, and memory frameworks
• Conduct workshops; develop SDKs, prompt libraries, templates, reusable components, and playbooks
• Present AI concepts and measurable business outcomes to executive stakeholders
• Ensure compliance with security, risk, regulatory, and Responsible AI governance standards

Required Skills

• Hands-on GenAI/LLM development experience
• Strong programming background
• Azure or GCP cloud platform experience
• Container technologies: Docker and Kubernetes/OpenShift
• 3+ years in GTM leadership, technical product management, solution engineering, or forward-deployed engineering

Preferred Skills

• Generative AI: LLMs, Prompt Engineering, Embeddings, Vector Databases, RAG
• Agentic AI frameworks: LangChain, LangGraph, AutoGen, ADK, CrewAI
• LLMOps: evaluation, observability, guardrails, prompt versioning
• AI development tools: GitHub Copilot, Cursor, Devin

Key Skills

Education

Bachelor's degree