AI Platform and Agentic Engineer
Intel Corporation (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 35–55 LPA
Posted 13h ago
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Job description
Structured overview of role & requirements
About This Role
- Architect and build an enterprise-grade AI platform to support Design Quality and Reliability engineering workflows including data analysis, qualification, risk assessment, and automation.
- Develop AI agents, backend services, APIs, data pipelines, and integration with engineering databases and quality-management systems for scalable and secure production use.
- Implement evaluation frameworks, automated testing, compliance controls, and mentor engineers on responsible AI-assisted software engineering practices.
Minimum Requirements
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, or related field.
- Significant experience in software engineering, AI engineering, platform engineering, or solution architecture.
- Strong Python development skills and experience building production APIs and backend services with proficiency in Agentic AI coding assistants like Claude Code or similar.
- Experience developing LLM applications, AI agents, tool-calling systems, retrieval pipelines, secure enterprise systems, and operational production practices such as CI/CD and monitoring.
Ideal Candidate Profile
- Experienced in enterprise AI platform architecture with demonstrated ability to scale AI solutions for mission-critical engineering data and workflows.
- Skilled in integrating AI capabilities securely with engineering databases, quality-management systems, and internal APIs in complex technical environments.
- Background or familiarity with semiconductor design, product qualification, Design Quality and Reliability, or engineering data analysis is preferred but not mandatory.