AI Platform and Agentic Engineer

Overview

Architect and build an enterprise-grade AI platform for Intel's Design Quality and Reliability organization, enabling engineers to analyze design, qualification and reliability data, automate workflows, access organizational knowledge and make evidence-based decisions.

What you'll do

• 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 tools.

What you'll need

• 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 teams.

Nice to have

• 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 property.

Details

• Location: India, Bangalore.
• Work model: hybrid, splitting time between on-site at the assigned Intel site and off-site.
• Shift: Shift 1 (India).
• Job type: Experienced Hire.
• Collaborates with Design, Quality and Reliability, Product Engineering, Manufacturing, IT, Information Security and other Intel stakeholders.