AI Architect Jobs in Colorado
AI Architect jobs in Colorado are among the most active in the Mountain West, concentrated in enterprise software, defense technology, and financial services at mid-senior to principal levels. The heaviest hiring is in Denver, Boulder, and Colorado Springs, where employers like Lockheed Martin, Palantir Technologies, and DISH Network have established engineering centers. The most in-demand specialties are large language model integration, MLOps platform design, and responsible AI governance frameworks. See the openings below and apply to the ones that match your experience.
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AI Factory Compute & IT Infrastructure Architect
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.
- 10+ 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.
- Proven experience designing or architecting large-scale infrastructure environments.
- 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.
$137,000.00 $222,000.00 10AI Factory Compute & IT Infrastructure Architect
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.
- 10+ 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.
- Proven experience designing or architecting large-scale infrastructure environments.
- 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.
$137,000.00 $222,000.00 10See All 13 AI Architect Jobs in Colorado
Find roles in Colorado that match your experience and apply in just a few clicks.
Find AI Architect JobsAI Architect Jobs by City in Colorado
Where Colorado roles are concentrated, by current openings.
AI Architect Job Market in Colorado
A snapshot from current Colorado openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Fintech
- Consulting & Professional Services
What Colorado Employers Look For
The qualifications that appear most often in AI architect jobs across Colorado.
- Bachelor's or master's degree in computer science, AI, or a related engineering field
- Hands-on experience designing and deploying machine learning pipelines at enterprise scale
- Proficiency with cloud AI platforms such as AWS SageMaker, Azure AI, or Google Vertex AI
- Demonstrated ability to translate business requirements into AI system architecture and roadmaps
- Experience with MLOps practices including model monitoring, versioning, and CI/CD for ML workflows
- Strong communication skills to align cross-functional engineering, data, and product stakeholders
AI Architect Jobs in Colorado: Frequently Asked Questions
How do you become a ai architect in Colorado?
AI architect roles in Colorado have no state-issued license, so the path runs through education and demonstrated experience. Most Colorado employers expect a bachelor's degree in computer science, data science, or a related field, with a master's degree increasingly preferred at principal levels. Building a portfolio of end-to-end ML system designs, earning cloud certifications from AWS, Azure, or Google, and contributing to open-source AI projects all strengthen a Colorado application meaningfully.
How much do AI architects make in Colorado?
AI architects in Colorado earn a median of about $139,580 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $76,140 for the lowest 10% to over $170,800 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai architects in Colorado?
Employers hiring ai architects in Colorado right now include Boston Consulting, TTEC, and Adobe, based on current listings on Migrate Mate as of September 2026. Colorado's blend of defense contractors, aerospace firms, and technology scale-ups means demand is spread across both government-adjacent and commercial sectors.
Which Colorado cities have the most ai architect jobs?
Denver, Colorado, and Boulder hold the most ai architect openings in Colorado. Denver and Boulder together anchor the state's technology corridor, home to major enterprise software and fintech employers, while Colorado Springs draws demand from defense contractors and federal agencies concentrated around Peterson Space Force Base.
Are there remote ai architect jobs in Colorado?
Yes, and more than most fields. About 50% of ai architect openings tied to Colorado are remote or hybrid as of September 2026, reflecting the desk-based, collaborative nature of architecture work. The parts of the role most suited to full remote are strategy, system design, and stakeholder alignment, while on-site presence is more common when integrating with hardware teams or classified defense programs.
How can I get hired as a ai architect in Colorado with little or no experience?
The most realistic entry path is moving laterally from a data engineering or machine learning engineer role, which several large Colorado employers treat as a direct pipeline. Companies like Lockheed Martin and Ball Aerospace run university recruiting programs in partnership with CU Boulder and Colorado State that bring in associate-level AI and data roles. Building a public portfolio of system design documents, completing an AWS or Azure AI specialty certification, and targeting titles like AI platform engineer or ML infrastructure engineer gives candidates without architect-level experience a credible first step in the Colorado market.
Where can I find and apply to ai architect jobs in Colorado?
You can find and apply to ai architect jobs in Colorado on Migrate Mate, which lists current Colorado openings updated continuously. Search the listings, find the roles that match your background and target location, and apply directly to the ones that fit.
See All 13 AI Architect Jobs in Colorado
Find roles in Colorado that match your experience and apply in just a few clicks.
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