ZipRecruiter

Log In

1

Ai Infrastructure Jobs in Colorado (NOW HIRING)

STACK Infrastructure

Platform Engineer - AI Infrastructure

Denver, CO · On-site

$110K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Platform Engineer - AI Infrastructure owns the cloud platform, DevOps pipelines, automation runtime environments, and operational infrastructure that power all of STACK's AI, automation, and data ...

Stackinfra

Platform Engineer - AI Infrastructure

Denver, CO · On-site

$110K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Platform Engineer - AI Infrastructure owns the cloud platform, DevOps pipelines, automation runtime environments, and operational infrastructure that power all of STACK's AI, automation, and data ...

Deloitte

AI Datacenter Associate VP

Denver, CO · Hybrid

AI Datacenter & Infrastructure Associate VP Join our AI & Engineering team and help transform technology platforms, drive innovation, and make a significant impact on our clients' success. You'll ...

Campminder

Senior Product Manager, AI Platform

Boulder, CO · On-site +1

$131K - $173K/yr

It's designing infrastructure many teams can build on, defining how its quality is measured, and getting it adopted in the wild. It's not a role for adding an AI feature so a product looks current.

Campminder

Senior Product Manager, AI Platform

Boulder, CO · On-site +1

$131K - $173K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

It's designing infrastructure many teams can build on, defining how its quality is measured, and getting it adopted in the wild. It's not a role for adding an AI feature so a product looks current.

Campminder

Senior Product Manager, AI Platform

Boulder, CO · On-site +1

$131K - $173K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

It's designing infrastructure many teams can build on, defining how its quality is measured, and getting it adopted in the wild. It's not a role for adding an AI feature so a product looks current.

Campminder

Senior Product Manager, AI Platform

Boulder, CO · On-site +1

$220K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

It\'s designing infrastructure many teams can build on, defining how its quality is measured, and getting it adopted in the wild. It\'s not a role for adding an AI feature so a product looks current.

Kiewit Corporation

Sr AI Engineer

Lone Tree, CO · On-site +1

$103K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Integrate AI platform services with enterprise data platforms and cloud infrastructure. * Implement observability, monitoring, logging, and troubleshooting for AI services. * Optimize platform ...

Crusoe

Senior Staff Solutions Engineer (NYC)

Denver, CO · On-site

$56.75 - $73.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack -- from electrons to tokens -- to power the world's most ambitious AI ...

next page

Showing results 1-20

All JobsAi Infrastructure JobsAi Infrastructure Jobs in Colorado

Ai Infrastructure information

See Colorado salary details

$29

$62

$91

How much do ai infrastructure jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for ai infrastructure in Colorado is $62.23, according to ZipRecruiter salary data. Most workers in this role earn between $50.58 and $72.55 per hour, depending on experience, location, and employer.

What is the difference between Ai Infrastructure vs Data Engineer?

AspectAi InfrastructureData Engineer
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of cloud platforms and AI toolsBachelor's in CS, Data Science, or related; programming and database skills
Work EnvironmentCloud environments, AI model deployment, infrastructure setupData pipelines, database management, data processing
Employer & Industry UsageTech companies, AI startups, cloud providersTech firms, finance, healthcare, e-commerce

Ai Infrastructure professionals focus on building and maintaining the hardware and software systems that support AI models, while Data Engineers develop and manage data pipelines and databases. Both roles require technical skills and often collaborate but serve different core functions within AI and data ecosystems.

How much do AI infrastructure engineers make?

AI infrastructure engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and hardware may earn higher salaries, often exceeding $180,000.

What are AI infrastructure jobs?

AI infrastructure jobs involve designing, building, and maintaining the hardware, software, and network systems necessary to support artificial intelligence applications. These roles often require knowledge of cloud computing, data centers, machine learning frameworks, and system optimization to ensure reliable and efficient AI model deployment and operation.

What are the key skills and qualifications needed to thrive in AI infrastructure?

To thrive in AI Infrastructure, you need expertise in software engineering, distributed systems, cloud platforms, and a solid understanding of machine learning workflows, often supported by degrees in computer science or related fields. Familiarity with tools like Kubernetes, Docker, Terraform, and cloud services (AWS, GCP, Azure), as well as experience with CI/CD pipelines and monitoring systems, is essential. Strong problem-solving abilities, effective communication, and adaptability help professionals excel in cross-functional teams and rapidly evolving environments. These skills and qualities are crucial for building scalable, reliable systems that power AI applications and support organizational innovation.

What are common challenges faced by professionals working in AI infrastructure roles, and how can they be addressed?

Professionals in AI Infrastructure roles often encounter challenges related to scalability, system reliability, and integration with existing IT environments. Managing rapidly growing datasets and ensuring seamless deployment of machine learning models can be complex, requiring robust automation and monitoring tools. Collaboration with data scientists, software engineers, and DevOps teams is critical to ensure infrastructure meets the evolving needs of AI projects. Staying updated with the latest cloud technologies and best practices can help address these challenges and drive successful AI implementations.

What is AI infrastructure?

AI infrastructure refers to the combination of hardware, software, and cloud-based solutions that support the development, deployment, and scaling of artificial intelligence applications. It includes components such as GPUs, CPUs, storage systems, networking, data management tools, and machine learning frameworks. The goal of AI infrastructure is to provide the computational power and resources needed to train, test, and run AI models efficiently, whether on-premises or in the cloud. Organizations invest in robust AI infrastructure to accelerate innovation, manage large datasets, and ensure the reliability of their AI systems.

What are popular job titles related to Ai Infrastructure jobs in Colorado?

For Ai Infrastructure jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Ai Infrastructure jobs in Colorado look for?

The top searched job categories for Ai Infrastructure jobs in Colorado are:

What cities in Colorado are hiring for Ai Infrastructure jobs?

Cities in Colorado with the most Ai Infrastructure job openings:

Ai Infrastructure jobs near you
Infographic showing various Ai Infrastructure job openings in Colorado as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $129,445 per year, or $62.2 per hour.

Platform Engineer - AI Infrastructure

STACK Infrastructure

Denver, CO • On-site

$110K - $145K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago

Job description

THE COMPANY:
STACK INFRASTRUCTURE (STACK) provides digital infrastructure to scale the world's most innovative companies. We are an award-winning industry leader in building, owning, and operating highly efficient, cost-effective wholesale, colocation, and cloud data centers. Each of our national facilities meets or exceeds the highest industry standards in all operational categories of availability, security, connectivity, and physical resilience.
STACK offers the scale and geographic reach that rapidly growing hyperscale and enterprise companies need. The world runs on data. Data runs on STACK.
THE POSITION:
Platform Engineer - AI Infrastructure owns the cloud platform, DevOps pipelines, automation runtime environments, and operational infrastructure that power all of STACK's AI, automation, and data initiatives. This is a hands-on leadership role-responsible for ensuring that every intelligent agent, automation workflow, RAG platform, and data pipeline moves from prototype to production rapidly, runs reliably, and scales cost-effectively. The scope spans Azure infrastructure provisioning using Terraform and Bicep, CI/CD pipeline engineering with Azure DevOps and GitHub Actions, container orchestration on AKS and Azure Container Apps, model serving and vector search infrastructure, automation runtime hosting, security hardening, and FinOps cost management. This lead also owns the deployment infrastructure for agentic and hybrid model workloads-including LLM/SLM serving endpoints, embedding compute, GPU/inference scaling, and multi-model routing. The ideal candidate is equally comfortable writing Terraform modules and reviewing architecture diagrams, with a relentless focus on deployment velocity, reliability, cost optimization, and security.
Azure Infrastructure & Platform Engineering
  • Design, deploy, and manage Azure infrastructure across dual EA subscriptions (Dev/Non-Prod and Production) including Databricks workspaces, AI Search clusters, Cosmos DB instances, ADLS Gen2, Azure OpenAI Service endpoints, and Azure Functions.
  • Implement Infrastructure-as-Code using Terraform, Bicep, or ARM templates with modular, version-controlled patterns enabling new workloads to deploy within hours.
  • Configure Azure networking (VNets, Private Endpoints, NSGs, Private DNS) for secure, globally distributed platform environments across AMER, EMEA, and APAC.
  • Build container-based deployment patterns (Azure Container Apps, AKS) for API serving, agent hosting, model inference, and automation execution.
  • Provision and manage LLM/SLM serving infrastructure: Azure OpenAI deployments, model endpoints, token-based scaling, and multi-region failover.

CI/CD, MLOps & Automation Runtime
  • Design end-to-end CI/CD pipelines (Azure DevOps, GitHub Actions) for application deployment, model promotion, data pipeline orchestration, and automated testing with blue/green and canary patterns.
  • Build MLOps pipelines for model registration, versioning, A/B testing, canary deployment, and automated rollback of LLM endpoints and RAG configurations.
  • Deploy and manage automation runtime infrastructure: Azure Logic Apps, Power Automate, Azure Functions, Durable Functions, and event-driven triggers for intelligent workflows.
  • Maintain agent hosting environments (Chainlit, FastAPI, Teams bots) for the HR PM Agent and future agentic solutions, with auto-scaling and health monitoring.
  • Create reusable deployment accelerators (Terraform modules, Helm charts, pipeline templates) to reduce time-to-production for each successive initiative.

FinOps, Security & Compliance
  • Drive Azure cost optimization: commitment-tier analysis, right-sizing, automated shutdown policies, and token consumption tracking across LLM endpoints.
  • Implement RBAC, managed identities, Key Vault integration, and least-privilege access across all platform components.
  • Ensure SOX compliance, data residency, and governance using Microsoft Purview, Defender XDR, and Azure Policy.
  • Manage secrets, certificates, API key rotation, and Entra ID integration for platform authentication across global regions.
  • Produce monthly infrastructure cost and performance reports with spend trends, cost-per-query, and optimization metrics.

THE DETAILS:
  • Location: Denver, CO or Dallas, TX
  • Travel: <10%
  • Benefits: Healthcare, Dental Care, Vision Insurance, Life Insurance, Paid Time Off, and Paid Leave Programs
  • Must be eligible to work in the United States
  • Must pass comprehensive background and drug screening

MUST-HAVE QUALIFICATIONS:
  • 7+ years of cloud infrastructure/DevOps experience with at least 2 years supporting AI/ML, automation, or data platform workloads at scale.
  • Expert-level Azure skills: Databricks, Cosmos DB, Azure Functions, Logic Apps, ADLS Gen2, Azure AI Search, Azure OpenAI Service, Container Apps/AKS, and Azure Monitor.
  • Strong IaC proficiency: Terraform (modules, state, workspaces), Bicep, or ARM templates with environment-templated patterns.
  • Hands-on CI/CD engineering: Azure DevOps, GitHub Actions, container registries, Helm charts, and blue/green/canary deployment automation.
  • Solid Python and Bash skills for infrastructure tooling, automation scripts, and deployment utilities.
  • Deep understanding of Azure networking, security (RBAC, managed identities, Key Vault, Private Endpoints, Azure Policy), and cost management.
  • Experience with containerization (Docker) and orchestration (AKS or Container Apps) for production workload and model serving.
  • Familiarity with AI platform infrastructure: Databricks provisioning, Cosmos DB scaling, AI Search management, and LLM endpoint deployment.

PREFERRED QUALIFICATIONS
  • Experience deploying RAG platform infrastructure, vector search clusters, and LLM/SLM serving endpoints in production.
  • Hands-on MLOps: model registries, experiment tracking, automated deployment pipelines, and A/B testing infrastructure.
  • Background in enterprise IT environments with M365, Intune, and Entra ID.
  • Azure certifications: AZ-104, AZ-400, AZ-305.
  • FinOps certification or demonstrated cloud cost optimization experience delivering measurable savings.
  • Experience supporting global operations across AMER, EMEA, and APAC with high-availability requirements.

Compensation Range:
$128,260.00 - $146,017.59
THIS MIGHT BE RIGHT FOR YOU IF:
  • You are a strong communicator, you are persuasive and clear, blending analytics with experience in decision-making.
  • You do not get flustered easily. You can juggle multiple priorities while balancing urgent requests with shifting timelines and deliverables.
  • You are a team builder. You take the time to understand and develop the strengths of your resources while formulating long-term plans for the growth and success of the team.
  • You are naturally curious and driven toward continual improvement. While you celebrate your successes, you take time to review and analyze campaigns for future learning.

WHY STACK?
  • We offer a competitive compensation package with strong benefits, including medical, dental, and vision insurance, a 401K program, flexible spending accounts - even a cell phone subsidy.
  • We foster a culture of appreciation, including peer-to-peer recognition and rewards programs.
  • Fun is part of our DNA, with events, game nights, happy hours, and barbecues.
  • We're growing - this is a great time to join and make an impact!

STACK is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, age, national origin, mental or physical disability, genetic information, veteran status, or any other status protected by federal, state, or local law
Note to external agencies: We are not accepting any blind submissions or resumes/cvs from recruitment agencies. Any candidates sent to STACK Infrastructure, Inc. will not be accepted or considered as a submission without a signed agreement in place. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of STACK Infrastructure, Inc.

Apply