AI Factory Compute & IT Infrastructure Architect

Siemens Mobility; Lakewood (CO); On-site; USD 137,000 - 222,000; Full time

Job summary

Siemens Mobility seeks an AI Factory Compute & IT Infrastructure Architect to lead global IT infrastructure architectures for AI Factory, spanning compute, storage, networking, and data center design. You’ll translate evolving AI/enterprise platforms into actionable reference architectures and work with electrical, cooling, controls, and facility teams.

Candidates should have 10+ years in compute infra, 5+ years in leadership, and deep AI infrastructure experience, with ability to travel up to

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, or a related technical discipline.
• 10+ years in compute infrastructure, networking, storage, cloud, HPC, or hyperscale environments.
• 5+ years in architecture, principal engineering, technical leadership, or equivalent roles.
• Experience with AI infrastructure, accelerated computing, HPC, hyperscale, or high-density data centers.
• Strong customer-facing communication and stakeholder management skills.
• Ability to travel up to 30-50%.

Responsibilities

• Serve as the technical authority for AI, HPC, cloud, and enterprise infrastructure architectures.
• Evaluate emerging processor, accelerator, networking, memory, and storage technologies and assess their impact on AI Factory designs.
• Develop scalable reference architectures spanning compute, storage, networking, racks, clusters, and data hall environments.
• Translate IT infrastructure requirements into inputs for electrical, cooling, controls, and facility design teams.
• Partner with customers, hyperscalers, enterprises, and technology partners on infrastructure strategy and architecture planning.
• Develop technical guidance, architecture frameworks, and thought leadership content supporting sales and go-to-market initiatives.

Skills

AI infrastructure

HPC

Cloud architectures

Enterprise infrastructure

Customer-facing communication

Stakeholder management

Education

Bachelor’s degree in Computer Science/Engineering or IT

Master’s degree preferred

Tools

Linux

Virtualization

Containers

Distributed systems

Networking fabrics

Job description

AI Factory Compute & IT Infrastructure Architect

Job ID

521836

Posted since

15-Sep-2026

Organization

Smart Infrastructure

Field of work

Research & Development

Company

Experienced Professional

Job type

Full-time

Office/Site only

Employment type

Permanent

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Position Overview

The AI Factory Compute & IT Infrastructure Architect will serve as a global technical authority for compute, networking, storage, memory, and IT infrastructure architecture within Siemens' AI Factory organization. The role will track how AI, hyperscale, cloud, HPC, and enterprise platforms are evolving and convert those changes into actionable AI Factory reference architectures and go-to-market guidance. The successful candidate will bring practical experience building or architecting large-scale compute, network, and storage environments and enough data-center fluency to translate upstream IT decisions into clear implications for power, cooling, controls, physical topology, resiliency, and deployment strategy. A critical responsibility is to partner with electrical, thermal/liquid cooling, controls & automation, digital thread, and regional Solutions Architects, rack density, cluster topology, network fabrics, storage architecture, and workload behavior are accurately reflected in the complete AI Factory architecture.

Key Responsibilities

• Serve as the technical authority for AI, HPC, cloud, and enterprise infrastructure architectures.
• Evaluate emerging processor , accelerator , networking, memory, and storage technologies and assess their impact on AI Factory designs.
• Develop scalable reference architectures spanning compute , storage, networking, racks, clusters, and data hall environments.
• Translate IT infrastructure requirements into actionable inputs for electrical, cooling, controls, and facility design teams.
• Partner with customers, hyperscalers , enterprises, and technology partners on infrastructure strategy and architecture planning.
• Develop technical guidance, architecture frameworks, and thought leadership content supporting sales and go-to-market initiatives.

Basic Qualifications

• Bachelor’s degree in Computer Science , Computer Engineering, Information Technology, or a related technical discipline; Master’s preferred.
• 1 0 + years of experience in compute infrastructure, networking, storage, cloud, HPC, enterprise systems, or hyperscale environments.
• 5+ years in architecture, principal engineering, technical leadership, or equivalent roles.
• Experience with AI infrastructure, accelerated computing, HPC, hyperscale, or high-density data centers.
• Strong customer-facing communication and stakeholder management skills.
• Ability to travel up to 30-50%.

Technical Expertise

• Large-scale compute , AI, HPC, cloud, or hyperscale infrastructure environments.
• Server, CPU, GPU, and accelerator architectures.
• AI training and inference platforms.
• Data center networking including Ethernet, InfiniBand, RoCE, and AI fabrics.
• Enterprise and high-performance storage architectures.
• Linux, virtualization, containers, and distributed systems.
• Rack-level infrastructure, power, cooling, and high-density deployments.
• Ability to evaluate emerging technologies and translate them into scalable architecture strategies.

Preferred Qualifications

• Deep expertise in compute , HPC, networking, AI infrastructure, hyperscale systems, or a related domain .
• Broad knowledge across compute , networking, storage, and data center infrastructure.
• Strong systems thinking with the ability to translate technology trends into business and architectural value .
• Demonstrated ability to influence cross-functional teams and drive alignment across technical and business stakeholders.
• Executive presence with strong communication and presentation skills.
• Ability to simplify complex technologies into actionable architectural decisions.
• Innovation mindset with a passion for learning emerging technologies and industry trends.

About Siemens:

We are a global technology company focused on industry, infrastructure, transport, and healthcare. From more resource-efficient factories, resilient supply chains, and smarter buildings and grids, to sustainable transportation as well as advanced healthcare, we create technology with purpose adding real value for customers.

Our Commitment to Equity and Inclusion in our Diverse Global Workforce:

We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the everyday with us.

You’ll Benefit From

Siemens offers a variety of health and wellness benefits to our employees. Details regarding our benefits can be found here: https://www.benefitsquickstart.com/siemens/index.html The pay range for this position is $137,000.00 - $222,000.00 annually with a target incentive 10 of the base salary. The actual wage offered may be lower or higher depending on budget and candidate experience, knowledge, skills, qualifications, and premium geographic location.

Equal Employment Opportunity Statement

Siemens is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.

EEO is the Law

Applicants and employees are protected from discrimination on the basis of race, color, religion, sex, national origin, or any characteristic protected by Federal or other applicable law.

Reasonable Accommodations

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Pay Transparency

Siemens follows Pay Transparency laws.

Application Deadline

This role will be posted for a minimum of five (5) days from the original posting date. The posting timeline may change based on applicant volume to ensure we attract and consider a strong and representative candidate pool.

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Criminal History

Qualified applications with arrest or conviction records will be considered foremission in accordance with applicable local and state laws.