Principal Engineer
Micron Technology, Inc. (company site, opens in a new tab)8+ yrsHyderabadOn-siteDirect career pageEst. 35–60 LPA
Posted 7h ago
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Job description
Structured overview of role & requirements
About This Role
- Architect and implement scalable multi-agent AI systems including A2A collaboration, memory, reasoning, tool use, and workflow orchestration.
- Build and optimize agentic workflows on the Claude ecosystem leveraging Claude Code, MCP tool access, and AWS AgentCore runtime.
- Design hybrid-cloud architectures (AWS, GCP, Kubernetes, on-prem) for Vector RAG and GraphRAG solutions, leading PoCs and setting technical standards across teams.
Minimum Requirements
- Bachelor's degree in CS, AI, Data Science, or related field.
- 8+ years experience in software/AI-ML, enterprise, platform, or knowledge engineering roles.
- Proven delivery experience with enterprise-scale Agentic AI, Generative AI, and RAG/GraphRAG solutions.
- Hands-on experience with Python, agentic frameworks, knowledge engineering (ontologies, taxonomies, semantic modeling), graph databases (Neo4j, Neptune), vector DBs, and familiarity with Claude ecosystem, MCP integrations, and AWS AgentCore.
Ideal Candidate Profile
- Expert in hybrid cloud architecture design across AWS, GCP, and on-prem environments with leadership in technology selection and adoption.
- Experience collaborating cross-functionally including engineering, manufacturing, product, validation, and data teams, with strong stakeholder communication.
- Technical leader able to mentor teams, lead proofs of concept, and drive enterprise-scale AI solutions involving agentic and knowledge engineering frameworks.