AI Platform and Agentic Engineer

Intel is hiring an AI Platform and Agentic Engineer in Bengaluru, India. Level rates it ; you can apply on Intel.

Level's read on this job

Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
Tools and skills the posting cites include Claude, Claude Code and AI agents.
Level lists 842 other open roles at Intel.

AI in this role

ClaudeClaude Code

ai-agentsai-evaluationai-safety

Job Details:

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 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

Additional Locations:

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.

How we rate this

AI Platform and Agentic Engineer at Intel rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

AI Platform and Agentic Engineer is an open job at Intel.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in India, Bangalore.
The job was posted on September 21, 2026.
Applications are handled by Intel. Apply on Intel

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsAI EvaluationAI SafetyClaudeClaude Code

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
How do you decide that one model's output is better than another's for a given task?
How do you think about the risk of an AI system in this kind of role failing silently?
What's a project where you used Claude hands-on?
Walk me through how you've used Claude Code in your day-to-day work.

Adapt your resume

List these exact terms on your resume: AI agents, AI Evaluation, AI Safety, Claude, and Claude Code. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

Get your CV reviewed before you apply

Send your CV and the role you want next. Your review arrives by email within 3 days.

Get a free CV review Check your resume with the ATS resume checker