Role overview
*NO THIRD PARTY OR CORP TO CORP / W2 EMPLOYEES ONLY
Were seeking an AI Engineer/Architect responsible for assisting with the design, governance, and implementation of AI-centric technology architectures across a hybrid infrastructure landscape, including AWS, Google Cloud Platform (GCP). This role requires a strong blend of strategic architectural background and hands-on technical execution.
What you'll work on
- Build and implement Generative AI and Agentic AI capabilities that enhance internal business processes and customer experiences.
- Develop and govern AI agents and copilots, including experience with Microsoft Copilot Studio and enterprise agent development patterns.
- 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).
- Ensure AI and GenAI solutions are architecturally aligned with enterprise technology strategy, and meet scalability, security, resiliency, and compliance requirements.
- Drive enterprise adoption of GenAI and Agentic AI frameworks, establishing reusable patterns, reference architectures, and best practices.
- Lead and execute proofs of concept (POCs) to evaluate emerging AI technologies, tools, and frameworks, and transition successful POCs into production-ready solutions.