Sr. Manager Agentic AI / Data Software Development - DC GPU

AMD
San Jose
Workplace: HybridFull timeUSD 193,900 - 332,400 annuallyFunction: Data Science & Machine LearningEducation: mastersSkills: ["Production-minded engineering","Security-conscious engineering instincts","Data-driven decision making","Collaboration with customer-facing engineers"]

Build and lead production agentic AI systems that run on AMD Instinct GPU infrastructure, including agent orchestration, tool/function calling integrations, and streaming inference against ROCm-based serving stacks. Design and operate the memory and context data layer (vector/graph/relational stores, embeddings, retrieval, provenance, and access control). Develop engagement memory and fleet telemetry pipelines, maintain reusable skills libraries, and create evaluation and monitoring to ensure reliable, safe behavior in real-world failures.

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FursaFursa
AMD
AMD
2 days ago

Sr. Manager Agentic AI / Data Software Development - DC GPU

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Last checked: 11 hours agoStatus: Live

Job Summary

Build and lead production agentic AI systems that run on AMD Instinct GPU infrastructure, including agent orchestration, tool/function calling integrations, and streaming inference against ROCm-based serving stacks. Design and operate the memory and context data layer (vector/graph/relational stores, embeddings, retrieval, provenance, and access control). Develop engagement memory and fleet telemetry pipelines, maintain reusable skills libraries, and create evaluation and monitoring to ensure reliable, safe behavior in real-world failures.
Location: San Jose
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, tool/function calling (including MCP integrations), and streaming inference integrations against ROCm serving stacks (vLLM, SGLang).
  • •Design and operate the memory and context data layer for agentic applications, including vector/graph/relational stores, embedding pipelines, retrieval strategies, and provenance/access-control policies.
  • •Build and maintain engagement memory and fleet data infrastructure by ingesting deployment telemetry, incident histories, and field knowledge into structured, queryable, agent-consumable formats.
  • •Develop and maintain reusable, versioned skills libraries with testing/review gates before reliance by agents or engineers.
  • •Build evaluation infrastructure (regression suites, LLM-as-judge pipelines, behavioral test harnesses) and harden systems against real-world failure modes like prompt injection, data poisoning, and tool misuse.

Pay and Benefits

Salary: USD 193,900 - 332,400 annually

Key Requirements

  • •5+ years of software engineering with significant production data engineering (pipelines, storage systems, data quality at scale).
  • •Hands-on production experience building LLM-powered and agentic applications (agent frameworks/orchestration, RAG/context engineering, tool calling, multi-step workflows).
  • •Depth in at least one memory/context storage paradigm (vector databases, graph databases, or hybrid retrieval) and strong opinions on when each approach is wrong.
  • •Experience designing evaluation frameworks for non-deterministic systems and ensuring production-quality monitoring.
  • •Strong Python and fluency with modern data stack tooling, plus containerized deployment on Kubernetes; GPU inference serving familiarity (vLLM/SGLang) is a plus.
Experience:AI/MLData engineeringLLM applications
Education:Master's in Computer Science, Computer Engineering, Data Engineering
Skills:Production-minded engineeringSecurity-conscious engineering instinctsData-driven decision makingCollaboration with customer-facing engineers
Languages:En-us
Tech Stack:PythonLLMAgentic AIAgent orchestrationTool/function callingMCPROCmAMD InstinctVLLMSGLangKubernetesStreaming inferenceVector databasesGraph databasesRelational storesEmbeddingsRAGContext engineeringRetrievalEvaluation infrastructure

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