Staff/ Principa/ MTS Agentic AI Architect – Knowledge Engineering

Micron Technology
Hyderabad
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 8+ yearsEducation: bachelorsSkills: ["Stakeholder management","Communication","Problem-solving","Cross-functional leadership","Technical leadership"]

Architect enterprise agentic AI and knowledge engineering solutions, defining reference architectures and delivery patterns across AWS, GCP, and on-prem. Design scalable multi-agent systems, MCP-connected tool access, and hybrid platforms using Kubernetes and distributed data services. Lead knowledge graph and RAG/GraphRAG frameworks (retrieval, semantic search, grounding, citations, context engineering), plus entity resolution and semantic interoperability. Partner across engineering, manufacturing, validation, product, and data teams to prototype, govern, and drive adoption.

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FursaFursa
Micron Technology
Micron Technology
3 weeks ago

Staff/ Principa/ MTS Agentic AI Architect – Knowledge Engineering

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Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Architect enterprise agentic AI and knowledge engineering solutions, defining reference architectures and delivery patterns across AWS, GCP, and on-prem. Design scalable multi-agent systems, MCP-connected tool access, and hybrid platforms using Kubernetes and distributed data services. Lead knowledge graph and RAG/GraphRAG frameworks (retrieval, semantic search, grounding, citations, context engineering), plus entity resolution and semantic interoperability. Partner across engineering, manufacturing, validation, product, and data teams to prototype, govern, and drive adoption.
Location: Hyderabad
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •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 memory systems, reasoning frameworks, tool use, and workflow orchestration.
  • •Architect Claude ecosystem and AWS AgentCore-based agent workflows, including secure enterprise deployment patterns.
  • •Build knowledge fabrics including ontologies, taxonomies, metadata models, and knowledge graphs for engineering and manufacturing use cases.
  • •Lead proof-of-concepts, mentor technical teams, and collaborate cross-functionally to deliver and standardize high-value AI solutions.

Key Requirements

  • •Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related technical field.
  • •8+ years of software engineering and experience in AI/ML, enterprise architecture, platform engineering, or knowledge engineering.
  • •Experience designing and delivering enterprise-scale agentic AI, generative AI, and RAG/GraphRAG knowledge-driven solutions.
  • •Experience architecting hybrid solutions across AWS, GCP, on-premises systems, and Kubernetes/distributed enterprise platforms.
  • •Hands-on working knowledge of the Claude ecosystem, agentic coding workflows, MCP-based integrations, and AWS AgentCore-style agent platforms.
Experience:8+ yearsAI/MLEnterprise architecturePlatform engineeringKnowledge engineering
Education:Bachelor's in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or related technical field
Skills:Stakeholder managementCommunicationProblem-solvingCross-functional leadershipTechnical leadership
Tech Stack:AWSGCPOn-premisesClaudeClaude CodeAWS AgentCoreA2AMCPPythonLangChainLlamaIndexLangGraphKubernetesNeo4jAWS NeptuneRDF/OWLCypherSPARQLPineconeChromaDB

Company Brief

Micron Technology
Designs and manufactures semiconductor memory and storage solutions, including DRAM, NAND, and NOR flash, for computing, networking, mobile, and automotive markets worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Boise, United States
Founded: 1978
Glassdoor
Glassdoor: 3.7
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