Fellow, AI Systems Architect for Operations

Job Title

Fellow, AI Systems Architect for Operations

Role Summary

Lead the design, delivery, and adoption of enterprise-scale, multi-agent AI systems that automate and optimize product engineering and operations across the semiconductor lifecycle. This technical leadership role spans pre-silicon build and verification, product & test engineering, quality, reliability, product operations, and supply chain.

The role defines strategy, architects production-grade AI platforms, establishes governance and security, and partners with engineering, IT, operations, and executive leadership to drive measurable improvements in productivity, quality, and cycle time.

Experience Level

Senior — minimum 20 years of experience in the semiconductor industry with sustained technical leadership and enterprise transformation responsibility.

Responsibilities

Primary responsibilities include strategy, architecture, delivery, and organizational adoption of agentic AI systems for engineering and operations:

• Define and execute long-term vision and strategy for agentic AI across engineering and product operations.
• Architect and deploy enterprise-scale multi-agent AI platforms using LLMs, SLMs, RAG, knowledge graphs, MCP frameworks, and agent orchestration technologies.
• Identify, prioritize, and deliver high-impact AI automations that improve productivity, quality, cycle time, and operational efficiency.
• Drive AI-enabled transformation across the semiconductor lifecycle: architecture & design, verification & emulation, DFT & test content, PETE, ATE programs, yield learning, reliability, failure analysis, product operations, and supply chain.
• Establish enterprise AI governance, security, deployment, and adoption guidelines.
• Collaborate with engineering, operations, IT, and executive teams to integrate AI systems with engineering and business processes.
• Mentor engineers and technical leaders; promote best practices and a culture of AI excellence.
• Represent the company externally through conferences, publications, patents, and strategic partnerships.

Requirements

Must-have technical skills, domain experience, and leadership capabilities; nice-to-have items are listed separately.

• Extensive, hands-on experience building and deploying multi-agent AI systems in production environments.
• Proven technical leadership across semiconductor domains such as design & verification, DFT, silicon validation, product & test engineering, yield engineering, quality & reliability, failure analysis, manufacturing, and NPI.
• Strong expertise in agentic AI architectures, generative AI, LLMs, SLMs, RAG, knowledge graphs, and AI workflow orchestration frameworks.
• Experience designing and delivering enterprise automation platforms integrated with engineering, manufacturing, and business systems.
• Outstanding communication, stakeholder management, and cross-functional collaboration skills.

Nice-to-have:

• Experience with multi-agent frameworks such as LangChain, LangGraph, AutoGen, CrewAI, MCP, or equivalents.
• Experience integrating AI systems with EDA tools and engineering data ecosystems.
• Experience deploying secure on-premise AI platforms for engineering applications.
• Publications, patents, or invention disclosures in AI or semiconductor engineering and manufacturing.

Education Requirements

Required: Master's degree or Ph.D. in Computer Engineering, Electrical Engineering, Computer Science, Artificial Intelligence, Machine Learning, or a related technical field. Preferred: Ph.D. or equivalent level of experience. Certifications: preference for multiple advanced AI/ML certifications (areas cited include agentic AI, generative AI, machine learning, deep learning, RAG systems, knowledge graphs, AI engineering). Equivalent practical experience will be considered.

About the Company

Company: Arm

Headquarters: Cambridge, United Kingdom

ARM is a global leader in semiconductor and software design, driving innovation in computing technology. The company specializes in designing processors and systems that provide the essential building blocks for electronic devices. ARM's architecture is widely used in smartphones, servers, and IoT devices, and its collaborative culture fosters bold thinking, diversity, and high-impact benefits for its talented workforce.