AI Solution Engineer - Agentic AI
AMD · Posted Oct 22
High-performance processors, graphics cards, data center solutions, and AI accelerators
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About the role
AMD designs processors and AI-enabling technologies, and this role sits with the team responsible for semiconductor debug tools and debug readiness. The role serves as a bridge between engineering teams and AI technologies, turning complex debugging workflows into scalable AI-enabled experiences. The AI Solutions Engineer will build agentic workflows, copilots, MCP integrations, RAG systems, and LLM-based assistants that improve debug productivity and shift-left readiness in partnership with software, firmware, validation, and silicon engineers.
What you will do
- 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.
Skills used in this role
What the employer is looking for
- Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Computer Science, or related field.
- 5-8 years of software engineering, automation, validation, or semiconductor engineering experience.
- Strong programming skills in Python.
- Experience developing enterprise applications, automation solutions, or engineering tools.
- Hands-on experience with Generative AI technologies including:
- LLMs (OpenAI, Azure OpenAI, Claude, Gemini, Llama, etc.)
- Agentic AI frameworks
- MCP (Model Context Protocol)
- Retrieval Augmented Generation (RAG)
- Vector databases and embeddings
- Prompt engineering and evaluation
- Experience building APIs, automation workflows, and integrations.
- Strong analytical and problem-solving skills.
- Excellent communication and stakeholder management abilities.
Preferred qualifications
- Experience in semiconductor debugging, silicon validation, bring-up, or DFT/debug environments.
- Familiarity with scan, JTAG, registers, validation logs, silicon debug, or post-silicon workflows.
- Experience with SoC architecture, debug tools, firmware validation, or hardware/software co-debug.
- Knowledge of GitHub Copilot, AI coding assistants, and developer productivity tools.
- Experience deploying AI solutions in production environments.
- Familiarity with data engineering, knowledge graphs, and search technologies.
Benefits and support
- Compensation and benefits are detailed in the job posting
About AMD
AMD is a global semiconductor company that designs high-performance central processing units (CPUs), graphics processing units (GPUs), and adaptive processors for data centers, personal computers, gaming consoles, and embedded systems. The company specializes in advanced computing solutions and AI accelerators, positioning itself as a major leader in modern high-performance and artificial intelligence hardware. Through strategic developments and acquisitions, AMD continues to expand its ecosystem across cloud infrastructure, enterprise computing, and physical AI.
- Industry
- Semiconductors
- Company size
- 31000 employees
- Founded
- 1969-05-01
- Location
- Santa Clara, California, USA
- Funding stage
- Public Company
Funding
Public Company
- 2007-11-16Post Ipo
Leadership
Chair and Chief Executive Officer
Executive Vice President, Chief Financial Officer and Treasurer
Executive Vice President and Chief Technology Officer
Executive Vice President and Chief Commercial Officer
Executive Vice President and General Manager, Data Center Solutions Business Group
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