Staff Agentic AI / Data Engineer

AMD
Indiana
Workplace: HybridFull timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["Problem-solving","Quality mindset","Security-conscious thinking","Strong opinions","Data-driven decision making"]

Build production agentic AI systems that power customer and internal engagements on AMD Instinct GPU infrastructure. Design and operate the memory/context data layer (vector/graph/relational stores, embeddings, provenance and access control), implement fleet and telemetry pipelines, and develop versioned skills libraries. Create evaluation and production monitoring (regression suites, LLM-as-judge, behavioral test harnesses), and harden systems against prompt injection, data poisoning, and tool-misuse. Collaborate on live deployments and reference architectures.

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FursaFursa
AMD
AMD
2 days ago

Staff Agentic AI / Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Build production agentic AI systems that power customer and internal engagements on AMD Instinct GPU infrastructure. Design and operate the memory/context data layer (vector/graph/relational stores, embeddings, provenance and access control), implement fleet and telemetry pipelines, and develop versioned skills libraries. Create evaluation and production monitoring (regression suites, LLM-as-judge, behavioral test harnesses), and harden systems against prompt injection, data poisoning, and tool-misuse. Collaborate on live deployments and reference architectures.
Location: Indiana
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Build production agentic AI systems on AMD Instinct GPU infrastructure, including agent orchestration, skills frameworks, and streaming inference integration against ROCm-based serving stacks.
  • •Design and operate the memory and context data layer for agentic applications, including vector/graph/relational stores, embedding pipelines, and retrieval/provenance/access-control policies.
  • •Build and maintain engagement memory and fleet data infrastructure, ingesting deployment telemetry, incident histories, and field knowledge into structured agent-consumable form.
  • •Develop and maintain a versioned skills library with required testing and review gates before it is used by agents or engineers.
  • •Harden agentic systems against real-world failure modes (prompt injection, data poisoning, and tool-misuse paths) and build evaluation/monitoring infrastructure for production quality.

Key Requirements

  • •Deep software engineering experience with significant production data engineering, including pipelines, storage systems, and data quality at scale.
  • •Hands-on experience building LLM-powered and agentic applications in production, including agent frameworks/orchestration, RAG and context engineering, tool calling, and multi-step workflows.
  • •Depth in at least one memory/context storage paradigm (vector databases, graph databases, or hybrid retrieval architectures) and strong opinions on when each is wrong.
  • •Experience designing evaluation frameworks for non-deterministic systems.
  • •Strong Python and working fluency with modern data stack tooling, including orchestration, streaming, warehouse/lakehouse, and containerized deployment on Kubernetes.
Experience:AILLM applicationsAgentic AIData engineeringData infrastructureData pipelinesEvaluation
Education:Bachelor's in Computer Science, Computer Engineering, Data Engineering (or equivalent practical experience)
Skills:Problem-solvingQuality mindsetSecurity-conscious thinkingStrong opinionsData-driven decision making
Languages:English
Tech Stack:PythonLLMAgentic applicationsAgent orchestrationTool/function callingMCPRAGContext engineeringStreaming inferenceROCmAMD InstinctVLLMSGLangVector databasesGraph databasesRelational storesEmbeddingsKubernetesWarehouse/lakehouseContainerized deployment

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

AMD
Designs and produces semiconductor products including CPUs, GPUs, and adaptive SoCs for consumer, enterprise, and embedded markets, competing across PCs, data centers, and gaming industries.
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: Santa Clara, United States
Founded: 1969
Glassdoor
Glassdoor: 3.9
WebsiteLinkedIn