Senior Manager Agentic AI / Data Software Development

Amd

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Jose, CA
Salary
$221,600–$332,400 / yr
Posted
15 days ago
Freshness
Confirmed live yesterday
Closes
Aug 27, 2027

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $221k
This role $277k
$157k most similar roles pay here $351k

This role pays more than 82% of similar roles. Most pay $185,790–$255,450 — the shaded band above. At the midpoint, this role pays about $277k versus about $221k for comparable roles.

Based on 238 similar postings.

Employer

About Amd

AMD (Advanced Micro Devices) is a semiconductor company that develops high-performance processors, graphics cards, and adaptive computing solutions for gaming, data centers, and embedded markets. Industry: Semiconductors

Amd currently has 367 open roles on FindRole.

Listed pay typically runs $166,400–$249,600 across 367 roles with salary data.

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View all roles at Amd

At a glance

TL;DR · Senior Manager Agentic AI / Data Software Development

Sr. Manager Agentic AI / Data Software Development - DC GPU joins the Data Center GPU organization to build production-grade agentic AI systems on AMD Instinct GPU infrastructure. This role involves developing data pipelines, memory and context databases, skills frameworks, and evaluation infrastructure for reliable agent behavior. The candidate will design vector, graph, and relational stores while building engagement memory and fleet data infrastructure to capture deployment telemetry. Key responsibilities include implementing tool calling via MCP-based integrations, integrating with ROCm-based serving stacks like vLLM and SGLang, and hardening systems against prompt injection and data poisoning. Required skills include Python, Kubernetes, and experience with RAG, context engineering, and non-deterministic system evaluation. The role focuses on creating reference architectures for agentic workloads within the AI infrastructure space to solve complex problems in enterprise data centers and high-performance computing environments.

What you'll do

  • Build production agentic AI systems including orchestration, tool calling, and streaming inference on AMD GPU infrastructure.
  • Design and operate memory and context data layers using vector, graph, and relational stores.
  • Develop pipelines to ingest deployment telemetry and field knowledge into structured, queryable formats for internal use.
  • Maintain a versioned library of reusable, agent-executable skills and operational expertise.
  • Build evaluation infrastructure including regression suites, LLM-as-judge pipelines, and production quality monitoring.
  • Harden agentic systems against security risks like prompt injection, data poisoning, and tool misuse.
  • Create reference architectures and open-source artifacts to establish AMD as a credible platform for agentic workloads.
  • Support customer-facing engineers by deploying and maintaining systems within live customer environments.

What we're looking for

  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Data Engineering, or equivalent practical experience.
  • 5+ years of software engineering with significant production data engineering including pipelines and storage systems at scale.
  • Hands-on experience building LLM-powered and agentic applications in production using RAG, context engineering, and tool calling.
  • Expertise in memory/context storage paradigms such as vector databases, graph databases, or hybrid retrieval architectures.
  • Experience designing evaluation frameworks for non-deterministic systems.
  • Proficiency in Python and modern data stack tooling including orchestration, streaming, and Kubernetes.
  • Familiarity with GPU inference serving (vLLM, SGLang) and ROCm/AMD Instinct hardware.
  • Must not require visa sponsorship to work in the United States.

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