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Ai Infrastructure Job Jobs in Colorado (NOW HIRING)

Accenture

AI & HPC Infrastructure Engineer

Denver, CO · On-site

$110K - $145K/yr

The Global AI Infrastructure team is at the center of enabling infrastructure reinvention for the next era of digital solutions powered by AI, accelerated computing, and high-performance workloads.

Stackinfra

Platform Engineer - AI Infrastructure

Denver, CO · On-site

$110K - $145K/yr

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 ...

Ibotta

Principal Product Manager, AI Enablement

Denver, CO · On-site

$200 - $220/hr

In this role, you will own the AI platform infrastructure that powers Ibotta's AI-enabled products -- building the centralized context management layer, model management capabilities, and paved roads ...

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

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.

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Ai Infrastructure Job information

What is an AI infrastructure job?

An AI Infrastructure job involves designing, building, and maintaining the foundational systems and tools required to support artificial intelligence and machine learning workloads. These professionals work on scalable computing environments, manage large datasets, and ensure high-performance computing resources are available for AI development and deployment. Their responsibilities often include optimizing hardware (like GPUs and TPUs), developing cloud-based solutions, and establishing reliable pipelines for data and model management. AI Infrastructure specialists collaborate with data scientists, ML engineers, and IT teams to deliver robust, efficient, and secure platforms that power AI applications.

What are some common challenges faced by professionals working in AI infrastructure roles?

Professionals in AI infrastructure roles often encounter challenges such as ensuring scalability and reliability of systems to handle large volumes of data and compute-intensive workloads. Managing the integration of diverse tools and frameworks, optimizing hardware and cloud resources, and maintaining security and compliance are also critical aspects. Additionally, effective collaboration with data scientists, software engineers, and DevOps teams is essential to streamline AI model deployment and monitoring. Staying current with rapidly evolving technologies is key to overcoming these challenges.

What are the key skills and qualifications needed to thrive in an AI infrastructure role, and why are they important?

To excel in an AI Infrastructure role, you need a strong background in computer science, cloud computing, and distributed systems, often supported by a relevant degree and experience with large-scale data environments. Proficiency with tools like Kubernetes, Docker, TensorFlow, PyTorch, and cloud platforms such as AWS, Azure, or Google Cloud is essential, along with familiarity with CI/CD pipelines and automation frameworks. Strong problem-solving, collaboration, and communication skills help drive innovation and facilitate cross-functional teamwork. These abilities ensure the robust, scalable, and efficient deployment of AI solutions that meet organizational needs.

What is the difference between Ai Infrastructure Job vs Data Engineer?

AspectAi Infrastructure JobData Engineer
Required CredentialsBachelor's in CS, Engineering, or related; knowledge of AI frameworksBachelor's in CS, Data Science, or related; programming skills in SQL, Python
Work EnvironmentData centers, cloud platforms, AI labsData pipelines, cloud environments, database systems
Industry UsageAI development, machine learning deploymentData processing, analytics, data pipeline creation

Ai Infrastructure Jobs focus on building and maintaining the hardware and software systems that support AI applications, including cloud and data center infrastructure. Data Engineers primarily develop and manage data pipelines and storage solutions to enable data analysis and machine learning. While both roles require technical skills and work in tech environments, Ai Infrastructure Jobs are more hardware and system-focused, whereas Data Engineers concentrate on data flow and management.

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

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

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

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

What cities in Colorado are hiring for Ai Infrastructure Job jobs?

Cities in Colorado with the most Ai Infrastructure Job job openings:

Ai Infrastructure Job jobs near you
Infographic showing various Ai Infrastructure Job job openings in Colorado as of August 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution.

Platform Engineer - AI Infrastructure

STACK Infrastructure

Denver, CO • On-site

$110K - $145K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

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.

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