AI Platform and Agentic Engineer

Intel; Bengaluru; Hybrid; INR 3,500,000 - 6,000,000; Full time

Job summary

Intel's Design Quality and Reliability organization seeks an AI Platform Engineer to architect and build an enterprise AI platform for engineering data analysis, workflow automation, and knowledge access. This role requires collaboration across Design, Quality and Reliability, Product Engineering, Manufacturing, IT, and Information Security, and emphasizes responsible AI practices.

The position involves developing production-grade backend services, APIs, data pipelines, and agent orchestration,

Qualifications

• Bachelor's degree in CS/Engineering or related field.
• Extensive software and AI engineering experience.
• Advanced Python development and backend APIs.
• Experience with Claude Code or similar agentic tools.
• Experience building LLM apps, agents, tool-calling, retrieval pipelines.
• Knowledge of software architecture, data modeling, patterns, testing, version control.
• Experience with CI/CD, logging, monitoring, secrets management, access control, operations.
• Ability to design secure, scalable enterprise systems.
• Strong written and verbal communication with multidisciplinary teams.

Responsibilities

• 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.

Skills

Python

LLM apps

Agentic AI

API development

CI/CD

Software architecture

Data modeling

Security & privacy

Communication

Education

Bachelor's degree in CS/Engineering

Master's degree preferred

Tools

Claude Code

Docker

Kubernetes

Vector search

Job description

Job Details

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 work. This 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 lifecycle. The successful candidate will combine strong software engineering fundamentals with expertise in AI-native and agentic development. They will be highly proficient with Agentic AI coding assistants and able to use these tools responsibly to accelerate architecture, implementation, testing, debugging, and documentation. This role requires close collaboration with Design, Quality and Reliability, Product Engineering, Manufacturing, IT, Information Security, and other Intel stakeholders.

Responsibilities

• 1. Architect and develop Intel's reusable AI platform for Design Quality and Reliability.
• 2. Build AI agents and workflows for engineering data analysis, qualification planning, risk assessment, knowledge retrieval, reporting, and process automation.
• 3. Apply Agentic AI coding assistants to accelerate software development while maintaining rigorous engineering review and validation.
• 4. Integrate AI capabilities with Intel engineering databases, quality-management systems, internal APIs, spreadsheets, documentation repositories, and workflow tools.
• 5. Develop production-grade backend services, APIs, data pipelines, model gateways, and agent-orchestration components.
• 6. Establish shared platform capabilities for identity, access control, tool authorization, memory, observability, evaluation, and auditability.
• 7. Implement human approval, deterministic validation, and rollback controls for consequential engineering actions.
• 8. Design evaluation frameworks using representative Intel Design Quality and Reliability use cases.
• 9. Establish automated testing, CI/CD, secure configuration, monitoring, documentation, and operational-support practices.
• 10. Ensure compliance with Intel requirements for intellectual-property protection, data classification, cybersecurity, privacy, and responsible AI.
• 11. Partner with domain experts to translate engineering workflows into scalable platform capabilities.
• 12. Mentor engineers in agentic software engineering and the responsible use of AI-assisted development tools.

Qualifications

Minimum Qualifications

• 1. Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, or a related field.
• 2. Significant experience in software engineering, AI engineering, platform engineering, or solution architecture.
• 3. Advanced Python development skills and experience building production APIs and backend services.
• 4. Demonstrated proficiency with Agentic AI coding assistants such as Claude Code, or comparable agentic software-development platforms.
• 5. Experience developing LLM applications, AI agents, tool-calling systems, retrieval pipelines, and structured model outputs.
• 6. Strong knowledge of software architecture, data modeling, design patterns, automated testing, version control, and code review.
• 7. Experience with CI/CD, logging, monitoring, secrets management, access control, and production operations.
• 8. Ability to design secure, reliable, scalable, and maintainable enterprise systems.
• 9. Strong written and verbal communication skills, including the ability to collaborate with multidisciplinary engineering teams.

Preferred Qualifications

• 1. Master's degree in a relevant engineering or computer science discipline.
• 2. Experience in semiconductor design, silicon validation, product qualification, Design Quality and Reliability, failure analysis, or manufacturing.
• 3. Familiarity with reliability topics such as device aging, electromigration, ESD, latch-up, TDDB, soft-error reliability, and high-voltage qualification.
• 4. Experience with statistical analysis, engineering data pipelines, scientific visualization, and large engineering datasets.
• 5. Experience integrating enterprise databases, document repositories, laboratory systems, and quality-management platforms.
• 6. Familiarity with containers, cloud or on-premises platforms, relational databases, vector search, caching, and asynchronous processing.
• 7. Experience with AI evaluation, prompt testing, model observability, governance, and responsible-AI controls.
• 8. Experience building systems that require traceability, reproducibility, audit readiness, and protection of confidential intellectual property.

What 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 prototypes. The 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.

Job Type

Experienced Hire

Shift

Shift 1 (India)

Primary Location

India, Bangalore

Posting Statement

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on‑site at their assigned Intel site and off‑site. * Job posting details (such as work model, location or time type) are subject to change.

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.