Description

You will define and govern the enterprise architecture for agentic platforms.

Responsibilities

• Define and maintain the enterprise reference architecture for agentic platforms, including frameworks, tools, MCP, registries, and orchestration.
• Establish architectural standards for agent design, tool integration, safety, telemetry, and lifecycle management.
• Provide architectural leadership to ensure agentic platform engineering is scalable, resilient, and operable.
• Design integration with semantic layers, embeddings, vector search, and enterprise data products to enable grounded agent behavior.
• Evaluate new agentic frameworks and orchestration tools to guide build versus buy platform decisions.

Required Skills

• 10+ years of experience in architectural design and implementation.
• Deep understanding of agentic concepts: tool calling, registries, eval pipelines, and multi-agent orchestration.
• Hands-on experience with Azure and GCP, specifically Kubernetes, containerization, and networking.
• Proficiency in MLOps/AIOps stacks, including MLflow, model registries, and vector databases.
• Demonstrated experience with CI/CD and API Platforms.
• Strong knowledge of security, compliance, and Responsible AI (RAI) principles for enterprise agent systems.
• Experience defining and governing enterprise architecture standards and patterns.
• Ability to translate complex business needs into clear technical design patterns.

Key Skills

Education

Any Gradute