AI Solution Engineer - Agentic AI

Company: Advanced Micro Devices (AMD)

Location: Bengaluru

Type: Full-time

Posted: 2026-10-23

About this role

Job Summary

We are looking for a highly motivated AI Solutions Engineer to help transform how semiconductor debugging and tool readiness are delivered through AI-powered solutions. In this role, you will work directly with debug tools developers, architects, and SoC engineers to identify high-impact engineering problems and rapidly develop AI-driven solutions that improve productivity, accelerate bring-up activities, and shift-left debug readiness.

You will serve as the bridge between engineering teams and AI technologies, turning complex debugging workflows into scalable AI-enabled experiences. The ideal candidate combines strong technical problem-solving skills, software development expertise, and a passion for applying modern AI technologies to real-world challenges.



Key Responsibilities

  • Partner with debug tools leads, debug teams/key users to identify engineering bottlenecks and automation opportunities.
  • Design, prototype, and deploy AI-powered solutions that improve debug efficiency, reduce manual effort, and accelerate root-cause analysis.
  • Develop agentic workflows, copilots, MCP integrations, RAG systems, and AI assistants for semiconductor debugging use cases.
  • Build proof-of-concepts and production-ready solutions using LLMs, AI agents, and automation frameworks.
  • Translate semiconductor debug workflows into scalable software and AI solutions.
  • Analyze logs, reports, register data, validation results, and other engineering artifacts to develop intelligent troubleshooting capabilities.
  • Drive shift-left initiatives by enabling earlier defect detection, readiness validation, and automated diagnostics.
  • Work closely with software, firmware, validation, and silicon teams to deploy solutions into daily engineering workflows.
  • Measure business impact through productivity improvements, cycle-time reduction, and readiness acceleration.
  • Evangelize AI best practices and help engineers adopt AI-first workflows.



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