AI Platform and Agentic Engineer

Job Title

AI Platform and Agentic Engineer

Role Summary

Architect and build an enterprise-grade AI platform to support Intel's Design Quality and Reliability engineering workflows. The platform will enable data analysis, automation, knowledge retrieval, and evidence-based decision making across the product lifecycle.

The role combines software engineering, platform development, and agentic AI work. It requires collaboration with Design, Quality & Reliability, Product Engineering, Manufacturing, IT, and Information Security stakeholders.

Experience Level

Mid-level (Experienced). The posting requests significant experience in software engineering, AI engineering, platform engineering, or solution architecture; no explicit years-of-experience threshold was provided.

Responsibilities

Build and operate a scalable, secure AI platform and agentic workflows for engineering use cases.

• Architect and develop a reusable AI platform for Design Quality and Reliability.
• Build AI agents and workflows for data analysis, qualification planning, risk assessment, knowledge retrieval, and reporting.
• Use agentic AI coding assistants responsibly to accelerate development, testing, and documentation.
• Integrate AI capabilities with engineering databases, quality-management systems, internal APIs, spreadsheets, and document repositories.
• Develop production-grade backend services, APIs, data pipelines, model gateways, and agent orchestration components.
• Establish shared platform capabilities: identity, access control, tool authorization, memory, observability, evaluation, and auditability.
• Implement human approval, deterministic validation, and rollback controls for consequential actions.
• Design evaluation frameworks and representative use-case tests for platform validation.
• Establish automated testing, CI/CD, secure configuration, monitoring, documentation, and operational-support practices.
• Ensure compliance with intellectual-property protection, data classification, cybersecurity, privacy, and responsible-AI requirements.
• Partner with domain experts to translate engineering workflows into scalable platform capabilities.
• Mentor engineers in agentic software engineering and responsible use of AI-assisted development tools.

Requirements

Must-have technical skills and experience required for successful performance in this role.

• Significant experience in software engineering, AI engineering, platform engineering, or solution architecture.
• Advanced Python development and experience building production APIs and backend services.
• Proficiency with agentic AI coding assistants and responsible use of those tools.
• 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 and ability to collaborate with multidisciplinary teams.

Nice-to-have / preferred experience:

• Experience in semiconductor design, silicon validation, product qualification, failure analysis, or manufacturing processes.
• Familiarity with reliability topics (device aging, electromigration, ESD, latch-up, TDDB, soft-error reliability, high-voltage qualification).
• Experience with statistical analysis, scientific visualization, and large engineering datasets.
• Integration experience with enterprise databases, document repositories, laboratory systems, and quality-management platforms.
• Familiarity with containers, cloud or on-prem 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 IP.

Education Requirements

Minimum: Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, or a related field is required. Preferred: Master's degree in a relevant engineering or computer science discipline. (Source lists these degree requirements explicitly.)

About the Company

Company: Intel Corporation

Headquarters: Santa Clara, California, USA

Intel Corporation is a leading multinational technology company known for its innovative semiconductor solutions, including microprocessors, artificial intelligence accelerators, and memory products. Headquartered in the United States, Intel focuses on cutting-edge technology and a collaborative working environment, driving advancements in semiconductor manufacturing to meet global demands. The company emphasizes professional development and aims to shape the future of technology through groundbreaking designs.