Fellow, AI Systems Architect for Operations

Posted 6 Hours Ago
Be an Early Applicant
2 Locations
Hybrid
309K-418K Annually
Expert/Leader
Artificial Intelligence • Internet of Things • Semiconductor
Build What the World Depends On
The Role
Lead design and deployment of enterprise-scale multi-agent AI systems across the semiconductor lifecycle. Define strategy, architect agentic AI platforms (LLMs, RAG, knowledge graphs), identify automation opportunities, establish AI governance, integrate with EDA and operations systems, mentor technical leaders, and represent the company externally.
Summary Generated by Built In
Arm is transforming how semiconductor products are composed, verified, tested, qualified, manufactured, and delivered. Our company is seeking a Fellow - AI Systems Architect for Product Operations to define the next generation of engineering and business operations. You will lead these operations, guided by artificial intelligence across the semiconductor lifecycle.
This highly transparent technical leadership role will develop and implement large-scale autonomous AI systems spanning pre-silicon build, verification, Product & Test Engineering (PETE), Quality, Reliability, Product Operations, and Supply Chain Management. The successful candidate will drive the development of autonomous engineering workflows that accelerate product development, improve quality, increase operational efficiency, and gain institutional knowledge at scale.
The ideal candidate combines deep semiconductor expertise with hands-on experience building and deploying production grade Multi Agentic AI systems capable of transforming complex engineering workflows.
Responsibilities
  • Define and execute ARM's long-term vision and strategy for Agentic AI across engineering and product operations.
  • Architect and deploy enterprise-scale Multi Agentic AI platforms applying LLMs, SLMs, RAG, Knowledge Graphs, MCP frameworks, and modern agent orchestration technologies.
  • Drive AI-enabled transformation across the complete semiconductor lifecycle, including:
  • Architecture & Design
  • Functional Verification & Emulation
  • DFT & Test Content Development
  • Product & Test Engineering
  • ATE Program Development
  • Yield Learning & Diagnosis
  • Reliability & Quality Engineering
  • Failure Analysis
  • Product Operations
  • Supply Chain Management
  • Identify and prioritize high-impact AI automation opportunities that deliver measurable improvements in productivity, quality, cycle time, and operational efficiency.
  • Establish enterprise AI governance, security, deployment, and adoption guidelines.
  • Collaborate across engineering, operations, IT, and executive leadership teams to drive company-wide AI initiatives.
  • Mentor engineers and technical leaders while fostering a culture of innovation and AI excellence.
  • Represent ARM externally through industry conferences, publications, patents, and strategic partnerships.

Required Skills and Experience
  • Master's or Ph.D. in fields such as Computer Engineering, Electrical Engineering, Computer Science, Artificial Intelligence, Machine Learning, or a related technical area.
  • Minimum 20 years of semiconductor proven experience.
  • Hands-on experience developing and deploying Multi-Agent AI systems in production environments.
  • Proven technical leadership across multiple areas including:
  • Semiconductor Design & Verification
  • Design-for-Test (DFT)
  • Silicon Validation
  • Product & Test Engineering
  • Yield Engineering
  • Quality & Reliability Engineering
  • Failure Analysis
  • Manufacturing & New Product Introduction (NPI)
  • Strong expertise in:
  • Agentic AI Architectures
  • Generative AI
  • Large Language Models (LLMs)
  • Small Language Models (SLMs)
  • Retrieval-Augmented Generation (RAG)
  • Knowledge Graphs
  • Machine Learning & Deep Learning
  • AI Workflow Orchestration Frameworks
  • Experience building enterprise automation platforms and integrating with engineering, manufacturing, and business systems.
  • Outstanding communication, technical leadership, and collaborator management skills.

Preferred Qualifications
  • Ph.D. in Computer Engineering, Electrical Engineering, Computer Science, Artificial Intelligence, or related field, or an equivalent level of experience.
  • Three or more sophisticated AI/ML certifications in areas such as:
  • Agentic AI
  • Generative AI
  • Machine Learning
  • Deep Learning
  • RAG Systems
  • Knowledge Graphs
  • AI Engineering
  • Experience building AI-enabled automation solutions for semiconductor design, verification, DFT, product engineering, quality, or manufacturing workflows.
  • Experience with LangGraph, LangChain, AutoGen, CrewAI, MCP, or similar multi-agent frameworks.
  • Experience integrating AI systems with EDA tools and engineering data ecosystems.
  • Experience in one or more pre-silicon fields including RTL Build, Functional Verification, Emulation, FPGA Prototyping, Physical Compose, Timing Closure, Low-Power Develop, or SoC Integration.
  • Publications, patents, or invention disclosures in AI, coordinated circuit development, validation, test, quality, reliability, or manufacturing.
  • Demonstrated success leading enterprise-wide technology transformation initiatives.
  • Experience deploying secure on-premise AI platforms for engineering applications.

Salary Range:
$308,600-$417,500 per year
We value people as individuals and our dedication is to reward people competitively and equitably for the work they do and the skills and experience they bring to Arm. Salary is only one component of Arm's offering. The total reward package will be shared with candidates during the recruitment and selection process.
Accommodations at Arm
At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email [email protected] . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.
Hybrid Working at Arm
Arm's approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team's needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.
Equal Opportunities at Arm
Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don't discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Skills Required

  • Master's or Ph.D. in Computer Engineering, Electrical Engineering, Computer Science, AI/ML, or related technical field.
  • Minimum 20 years of semiconductor industry experience.
  • Hands-on experience developing and deploying Multi-Agent AI systems in production environments.
  • Proven technical leadership across semiconductor domains (design & verification, DFT, silicon validation, product/test engineering, yield, quality, reliability, failure analysis, manufacturing/NPI).
  • Expertise in Agentic AI architectures, Generative AI, LLMs, SLMs, RAG, Knowledge Graphs, ML and Deep Learning.
  • Experience with AI workflow orchestration frameworks and building enterprise automation platforms integrated with engineering, manufacturing, and business systems.
  • Outstanding communication, technical leadership, and cross-functional collaboration skills.
  • Ph.D. in relevant field or equivalent experience.
  • Sophisticated AI/ML certifications (Agentic AI, Generative AI, ML, Deep Learning, RAG, Knowledge Graphs, AI Engineering).
  • Experience with LangGraph, LangChain, AutoGen, CrewAI, MCP or similar multi-agent frameworks.
  • Experience integrating AI systems with EDA tools and engineering data ecosystems.
  • Experience in pre-silicon fields (RTL build, functional verification, emulation, FPGA prototyping, timing closure, SoC integration).
  • Publications, patents, or invention disclosures in AI or semiconductor engineering domains.
  • Experience deploying secure on-premise AI platforms for engineering applications and leading enterprise-wide technology transformations.
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Cambridge, England
8,314 Employees
Year Founded: 1990

What We Do

We bring brilliant people together in a global ecosystem that is sparking the world’s potential. Arm technology enables specialized processing built on the economics, design freedom and accessibility of general-purpose compute that has, so far, led to more than 180 billion chips being shipped by our partners.

Why Work With Us

At Arm, we build the future of computing, powering everything from smartphones to AI. Our 10x mindset drives bold thinking and deep collaboration to solve complex problems together. With a people first culture, flexible work, and strong support for growth and wellbeing, your ideas can make a global impact while your career thrives.

Gallery

Gallery
Gallery
Gallery
Gallery

Arm Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Not Specified
HQCambridge, UK
Galway, Ireland
Budapest, Hungary
Sophia Antipolis, France
Ra'anana, Israel
Bengaluru, India
Noida, India
Yokohama, Japan
Seoul, South Korea
Hsinchu, Taiwan
Taipei, Taiwan
Munich, Germany
Austin, TX
Bristol, UK
Chandler, AZ
Raleigh, NC
Lund, Sweden
Manchester, England
Oslo, Norway
San Diego, CA
San Jose, CA
Sheffield, UK
Trondheim, Norway
Boston, MA
Learn more

Similar Jobs

Arm Logo Arm

Architect

Artificial Intelligence • Internet of Things • Semiconductor
Hybrid
Austin, TX, USA
8314 Employees
309K-418K Annually

Arm Logo Arm

Category Manager

Artificial Intelligence • Internet of Things • Semiconductor
Hybrid
Austin, TX, USA
8314 Employees
128K-174K Annually

Arm Logo Arm

Counsel

Artificial Intelligence • Internet of Things • Semiconductor
Hybrid
Austin, TX, USA
8314 Employees
234K-316K Annually

Arm Logo Arm

Recruiter

Artificial Intelligence • Internet of Things • Semiconductor
Hybrid
Austin, TX, USA
8314 Employees
101K-137K Annually

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account