Staff/ Principa/ MTS Agentic AI Architect – Knowledge Engineering

Overview

Staff/Principal/MTS Agentic AI Architect focused on knowledge engineering for enterprise AI systems.

What you'll do

• Define and drive enterprise architecture for Agentic AI, Knowledge Engineering, and AI decision systems across AWS, GCP, and on-prem.
• Design scalable multi-agent architectures using A2A collaboration, memory systems, reasoning frameworks, tool use, and workflow orchestration.
• Architect Claude ecosystem and AWS AgentCore-enabled agentic workflows.
• Architect MCP-based connectivity patterns for secure tool, API, and knowledge repository access.
• Design knowledge fabrics including ontologies, taxonomies, metadata models, and knowledge graphs.
• Develop RAG/GraphRAG frameworks for retrieval, grounding, citation, and context engineering.

What you'll need

• 8+ years experience in software engineering, AI/ML, enterprise architecture, platform engineering, or knowledge engineering.
• Experience designing and delivering enterprise-scale Agentic AI, Generative AI, RAG/GraphRAG, and knowledge-driven solutions.
• Experience across AWS, GCP, on-prem systems, Kubernetes, and distributed enterprise platforms.
• Hands-on experience or strong working knowledge of the Claude ecosystem, agentic coding workflows, MCP 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, Telangana, India.