Intel - AI Platform Engineer - Agentic AI in Bangalore, भारत

Job Description : Intel's Design Quality and Reliability organization is seeking an AI Platform Engineer to architect and build an enterprise-grade AI platform for mission-critical engineering https://jobeax.com/link/0K0NkMwjonT4kdrl platform will enable Intel engineers to analyze complex design, qualification, and reliability data; automate engineering workflows; access organizational knowledge; and make faster, evidence-based decisions throughout the product https://jobeax.com/link/hAb6IHavc9iVqS8p successful candidate will combine strong software engineering fundamentals with expertise in AI-native and agentic https://jobeax.com/link/lSyjotf1gyp4jX00 will be highly proficient with Agentic AI coding assistants and able to use these tools responsibly to accelerate architecture, implementation, testing, debugging, and https://jobeax.com/link/zNVNmFmssYRmxItl role requires close collaboration with Design, Quality and Reliability, Product Engineering, Manufacturing, IT, Information Security, and other Intel https://jobeax.com/link/I2ScCEJX3PeopjSu : - Architect and develop Intel's reusable AI platform for Design Quality and Reliability.- Build AI agents and workflows for engineering data analysis, qualification planning, risk assessment, knowledge retrieval, reporting, and process automation.- Apply Agentic AI coding assistants to accelerate software development while maintaining rigorous engineering review and validation.- Integrate AI capabilities with Intel engineering databases, quality-management systems, internal APIs, spreadsheets, documentation repositories, and workflow tools.- Develop production-grade backend services, APIs, data pipelines, model gateways, and agent-orchestration components.- Establish shared platform capabilities for identity, access control, tool authorization, memory, observability, evaluation, and auditability.- Implement human approval, deterministic validation, and rollback controls for consequential engineering actions.- Design evaluation frameworks using representative Intel Design Quality and Reliability use cases.- Establish automated testing, CI/CD, secure configuration, monitoring, documentation, and operational-support practices.- Ensure compliance with Intel requirements for intellectual-property protection, data classification, cybersecurity, privacy, and responsible AI.- Partner with domain experts to translate engineering workflows into scalable platform capabilities.- Mentor engineers in agentic software engineering and the responsible use of AI-assisted development https://jobeax.com/link/zDR1kZS6InvaFP4i Qualifications : - Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, or a related field.- Significant experience in software engineering, AI engineering, platform engineering, or solution architecture.- Advanced Python development skills and experience building production APIs and backend services.- Demonstrated proficiency with Agentic AI coding assistants such as Claude Code, or comparable agentic software-development platforms.- Experience developing LLM applications, AI agents, tool-calling systems, retrieval pipelines, and structured model outputs.- Strong knowledge of software architecture, data modeling, design patterns, automated testing, version control, and code review.- Experience with CI/CD, logging, monitoring, secrets management, access control, and production operations.- Ability to design secure, reliable, scalable, and maintainable enterprise systems.- Strong written and verbal communication skills, including the ability to collaborate with multidisciplinary engineering https://jobeax.com/link/TKg5uFi8EXixZol0 Qualifications : - Master's degree in a relevant engineering or computer science discipline.- Experience in semiconductor design, silicon validation, product qualification, Design Quality and Reliability, failure analysis, or manufacturing.- Familiarity with reliability topics such as device aging, electromigration, ESD, latch-up, TDDB, soft-error reliability, and high-voltage qualification.- Experience with statistical analysis, engineering data pipelines, scientific visualization, and large engineering datasets.- Experience integrating enterprise databases, document repositories, laboratory systems, and quality-management platforms.- Familiarity with containers, cloud or on-premises platforms, relational databases, vector search, caching, and asynchronous processing.- Experience with AI evaluation, prompt testing, model observability, governance, and responsible-AI controls.- Experience building systems that require traceability, reproducibility, audit readiness, and protection of confidential intellectual https://jobeax.com/link/5mH4RJicSPJLIvLm Success Looks Like : The successful candidate will establish a trusted AI foundation for Intel's Design Quality and Reliability organization - not a collection of isolated https://jobeax.com/link/Xx3GDDPSC2Ce353Z platform will securely scale across engineering use cases, deliver explainable and traceable results, preserve appropriate human oversight, and measurably accelerate Intel's mission-critical quality and reliability work. (ref:hirist.tech)