Staff/ Principa/ MTS Agentic AI Architect – Knowledge Engineering

Overview

Staff/Principal/MTS Agentic AI Architect for knowledge engineering, focused on defining enterprise architecture and platforms for agentic AI and knowledge-driven decision systems.

What you'll do

• Define and drive enterprise architecture for agentic AI, knowledge engineering, and AI-powered decision systems across AWS, GCP, and on-prem.
• Design scalable multi-agent architectures with A2A collaboration, memory systems, reasoning frameworks, tool use, and workflow orchestration.
• Architect MCP-based connectivity patterns for secure agent interaction with enterprise tools, APIs, knowledge repositories, and data platforms.
• Architect knowledge fabrics including ontologies, taxonomies, metadata models, and knowledge graphs for engineering and manufacturing use cases.
• Design and optimize RAG and GraphRAG solutions for retrieval, semantic search, grounding, citation, and graph traversal/context engineering.
• Establish AI governance standards covering security, compliance, access control, observability, explainability, Responsible AI, and operational excellence.

What you'll need

• 8+ years of experience in software engineering, AI/ML, enterprise architecture, platform engineering, or knowledge engineering.
• Experience designing and delivering enterprise-scale agentic AI, generative AI, and RAG/GraphRAG and knowledge-driven solutions.
• Experience designing across AWS, GCP, on-premises systems, Kubernetes, and distributed enterprise platforms.
• Hands-on experience or strong working knowledge of the Claude ecosystem, agentic coding workflows, MCP-based integrations, and AWS AgentCore-style platforms.
• Proven ability to lead architecture, technology selection, solution delivery, and organizational adoption of emerging technologies.
• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related technical field.

Details

• Location: Hyderabad, India (ATS: Hyderabad - Phoenix Aquila, India).