Lead the design, governance, and implementation of AI-centric technology architectures across a hybrid infrastructure landscape
Build and implement Generative AI and Agentic AI capabilities that enhance internal business processes and customer experiences
Develop and govern AI agents and copilots
Design and develop Agentic AI solutions leveraging Model Context Protocol (MCP), Google Agent Development Kit (ADK), LangGraph / LangChain, and Agent Engine on Google Cloud Platform (GCP)
Drive enterprise adoption of GenAI and Agentic AI frameworks
Lead and execute proofs of concept (POCs) to evaluate emerging AI technologies, tools, and frameworks

10-12 years in Engineering / Architecture disciplines
At least 2+ years in GenAI and Agentic AI development
Must have at least one GenAI or Agentic AI project end-to-end delivery experience
Strong proficiency in Google ADK, LangGraph/Langchain, Agent Engine, RAG, and Vertex AI
Hands-on experience with GCP services: Cloud Run, ECS, Vertex AI Search Engine, IAM, and networking
Experience developing IaC and application pipelines using modern automation and DevOps tooling (e.g., Terraform, GitHub Actions)
Solid understanding of GenAI patterns, LLM fine-tuning, and prompt engineering
Programming Skills: Python, Java, or similar languages for AI development
Cloud Certifications: GCP Professional Machine Learning Engineer or GCP Professional Cloud Architect preferred
Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field
Candidate must be authorized to work in the US without company sponsorship.

Director of Enterprise Architecture, GenAI

Key skills