AI Solution Engineer - Agentic AI
Advanced Micro Devices, Inc. (AMD) (company site, opens in a new tab)5–8 yrsBengaluruOn-siteDirect career pageEst. 30–45 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Identify engineering bottlenecks and develop AI-driven debugging solutions to improve semiconductor debugging productivity and cycle-time.
- Design, prototype, and deploy AI-powered tools including agentic workflows, copilots, RAG systems, and AI assistants for shift-left defect detection and diagnostics.
- Collaborate with cross-functional teams to integrate AI solutions into semiconductor debug workflows and measure impact on readiness and automation efficiency.
Minimum Requirements
- Bachelor's or Master's degree in Computer Engineering, Electrical Engineering, Computer Science, or related field.
- 5-8 years of experience in software engineering, automation, validation, or semiconductor engineering.
- Strong programming skills in Python and hands-on experience with Generative AI technologies such as LLMs, Agentic AI frameworks, MCP, RAG, vector databases, and prompt engineering.
- Experience developing enterprise applications, building APIs, automation workflows, and integrations relevant to engineering tools.
Ideal Candidate Profile
- Background combining semiconductor debugging or silicon validation knowledge with strong software development and AI expertise.
- Proven ability to turn complex engineering workflows into scalable AI-powered software solutions deployed in production.
- Experience collaborating with multiple engineering teams (software, firmware, silicon) to drive shift-left initiatives and operationalize AI in technical environments.