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Ai Devops Engineer Jobs in Colorado (NOW HIRING)

Senior AI DevOps Engineer

Littleton, CO · On-site

$96K - $137K/yr

Build and champion a "Self-Healing" infrastructure that moves operations beyond traditional ... Implement complex AI workflows using frameworks like LangChain and LlamaIndex to drive agentic ...

Senior DevOps Engineer

Boulder, CO · On-site +1

$134K - $173K/yr

This person will partner with AI engineering experts to incorporate AI into our engineering ... As a Senior DevOps Engineer on our Platform team, you will: * Transform our DevOps platform and ...

Senior DevOps Engineer

Boulder, CO · On-site +1

$134K - $173K/yr

This person will partner with AI engineering experts to incorporate AI into our engineering ... As a Senior DevOps Engineer on our Platform team, you will: * Transform our DevOps platform and ...

DevOps Engineer

Englewood, CO · On-site

$52 - $71.25/hr

Unison Systems is looking for a mid level DevOps Engineer to join our Denver based healthcare ... Our cloud-based system leverages AI and real-time clinical data to support oncologists in ...

DevOps Engineer

Denver, CO · On-site

$53.25 - $73/hr

Job Advertisement - DevOps Engineer Company Overview: We are a fastgrowing technology company focused on delivering reliable, scalable, and secure cloudnative applications to enterprise clients. Our ...

DevOps Engineer

Denver, CO · On-site

$53.25 - $73/hr

Job Advertisement - DevOps Engineer Company Overview: We are a fast-growing technology company focused on delivering reliable, scalable, and secure cloud-native applications to enterprise clients.

DevOps Engineer

Denver, CO · On-site

$130K - $165K/yr

Every day, we Raise The Bar™️ for what's possible through AI, innovation, and solutions that ... Why this Role Matters As a DevOps Engineer, you will support the delivery of secure, reliable, and ...

DevOps Engineer, Mid

Aurora, CO · On-site

$61K - $141K/yr

DevOps Engineer, Mid The Opportunity: Everyone is trying to "harness the cloud," but not everyone ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

DevOps Engineer

Denver, CO · Hybrid

$130K - $165K/yr

Every day, we RaiseTheBar forwhat'spossible through AI, innovation, and solutions that power ... Why this Role Matters As a DevOps Engineer, you will support the delivery of secure, reliable, and ...

Mid DevOps Engineer

Aurora, CO · On-site

$61K - $141K/yr

R0241823 DevOps Engineer, Mid The Opportunity: Everyone is trying to "harness the cloud," but not ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

DevOps Engineer, Mid

Aurora, CO · On-site

$61K - $141K/yr

Share DevOps Engineer, Mid The Opportunity: Everyone is trying to "harness the cloud," but not ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

DevOps Engineer

Aurora, CO · On-site

$53.75 - $73.50/hr

DevOps Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are looking for a motivated and innovative DevOps ...

DevOps Engineer, Mid The Opportunity: Everyone is trying to "harness the cloud," but not everyone ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

DevOps Engineer

Denver, CO · On-site

$54.25 - $74.25/hr

They are seeking a DevOps Engineer to work on configuration management and software deployment, requiring skills in Chef, Puppet, Ansible, and scripting. Responsibilities : • Our client in the ...

DevOps Engineer

Denver, CO

$54.25 - $74.25/hr

Job Title: DevOps Engineer Location: Denver, CO Type: Direct Hire Our client in the Denver, Colorado area is looking for a DevOps Engineer to join their team on a Direct Hire basis. This person ...

DevOps Engineer The Opportunity: We're seeking a DevOps Engineer who is motivated by mission impact ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

New

DevOps Engineer

Colorado Springs, CO · On-site

$120K - $165K/yr

We are pleased to announce the opening for a DevOps Engineer who will join our Research and Development division, supporting teams working on advanced AI/ML applications in missile defense, battle ...

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Showing results 1-20

Ai Devops Engineer information

See Colorado salary details

$17

$63

$90

How much do ai devops engineer jobs pay per hour?

As of Jul 17, 2026, the average hourly pay for ai devops engineer in Colorado is $63.65, according to ZipRecruiter salary data. Most workers in this role earn between $53.32 and $73.03 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI DevOps Engineer, and why are they important?

To thrive as an AI DevOps Engineer, you need expertise in software engineering, machine learning pipelines, and cloud infrastructure, often backed by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD systems, version control (e.g., Git), and cloud platforms (AWS, Azure, GCP), as well as certifications such as AWS Certified DevOps Engineer, are highly valuable. Strong problem-solving, collaboration, and communication skills help you work effectively with cross-functional teams and adapt to evolving project requirements. These competencies are essential to ensure robust, scalable, and efficient deployment of AI solutions in production environments.

What are AI DevOps Engineers?

AI DevOps Engineers are professionals who blend expertise in artificial intelligence (AI) and DevOps practices to streamline the development, deployment, and maintenance of AI-powered applications. They automate and manage the continuous integration and continuous deployment (CI/CD) pipelines for machine learning models, ensuring scalability, reliability, and efficiency in production environments. Their role also includes monitoring AI systems, managing model versions, and collaborating with data scientists, software engineers, and IT teams to bridge the gap between development and operations. This position is crucial for organizations looking to operationalize AI solutions at scale.

How does an AI DevOps Engineer typically collaborate with data scientists and software engineers on AI projects?

An AI DevOps Engineer plays a crucial role in bridging the gap between data scientists and software engineers by streamlining the deployment and monitoring of AI models. They often work closely with data scientists to automate model training, testing, and deployment pipelines, ensuring that models move smoothly from development to production. Additionally, they collaborate with software engineers to integrate models into scalable applications, manage infrastructure, and set up monitoring systems to track performance and reliability. This role requires strong communication skills and a proactive approach to troubleshooting issues that arise in cross-functional teams.

What is the difference between Ai Devops Engineer vs Data Engineer?

AspectAi Devops EngineerData Engineer
Required CredentialsCertifications in cloud platforms, DevOps tools, AI/ML frameworksCertifications in data management, SQL, cloud platforms
Work EnvironmentCollaborates with AI/ML teams, DevOps, cloud infrastructureWorks with data pipelines, databases, big data tools
Employer & Industry UsageTech companies, AI startups, cloud service providersFinance, healthcare, e-commerce, data-driven industries

Ai Devops Engineers focus on deploying and maintaining AI/ML models in production using DevOps practices, while Data Engineers build and manage data pipelines and infrastructure. Both roles require cloud and scripting skills but serve different stages of data and AI workflows.

What are popular job titles related to Ai Devops Engineer jobs in Colorado? For Ai Devops Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Ai Devops Engineer jobs in Colorado look for? The top searched job categories for Ai Devops Engineer jobs in Colorado are:
Senior AI DevOps Engineer

Senior AI DevOps Engineer

EchoStar

Littleton, CO • On-site

$96K - $137K/yr

Full-time

Medical, Retirement

Re-posted 9 days ago


EchoStar rating

7.1

Company rating: 7.1 out of 10

Based on 74 frontline employees who took The Breakroom Quiz

52nd of 82 rated telecommunications companies


Job description

Company Summary

EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products.
Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.

Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our team members play a vital role in connecting consumers with the products and platforms of tomorrow.

Job Duties and Responsibilities

Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session.

Bridge the gap between experimental machine learning and production-grade software by engineering systems that orchestrate Large Language Models (LLMs) and "agentic" workflows. Build and champion a "Self-Healing" infrastructure that moves operations beyond traditional monitoring into a new era of observability and predictive intelligence. Solve complex business problems by integrating RAG pipelines and autonomous remediation tools to ensure high-performance, intelligent system reliability across cloud environments.

What Success Looks Like (Objectives)
  • Implement complex AI workflows using frameworks like LangChain and LlamaIndex to drive agentic solutions for enterprise-level challenges

  • Deliver high-quality RAG pipelines utilizing Milvus vector databases to improve data retrieval accuracy and reduce model hallucinations

  • Automate Tier-1 and Tier-2 incident resolutions by developing "Runbooks-as-Code" using Python and Ansible for self-healing infrastructure

  • Establish rigorous evaluation frameworks to measure model performance and accuracy, ensuring production-grade reliability for LLM responses

  • Champion the transition to AI-native development by mentoring junior engineers and defining engineering best practices across the department

  • Optimize system performance and cost by engineering microservices that handle asynchronous AI processing and intelligent token management

Skills, Experience and RequirementsCore Skills and Competencies (What you’ll bring)
  • Mastery of backend engineering and API design (RESTful/GraphQL) to seamlessly expose AI capabilities to complex frontend applications

  • Expert proficiency in AI integration and the current LLM landscape, including prompt engineering and the orchestration of Transformer-based models

  • Advanced technical literacy in AI-specific monitoring and observability tools like Dynatrace, LangSmith, or Weights & Biases to track model performance

  • Critical experience in designing ETL pipelines for unstructured data and managing vector databases to support scalable RAG systems

  • Strong collaborative leadership and decision-making skills to guide cross-functional teams through the complexities of cloud-native AI development

  • A fearless and curious approach to problem-solving that enables the rapid adoption of emerging technologies like autonomous agents and predictive intelligence

Additional Qualifications
  • Contributions to open-source AI projects or a portfolio of "Agentic" AI applications

  • Certifications in Cloud AI (e.g., AWS Certified Machine Learning – Specialty)

Minimum Requirements
  • Minimum Education: Bachelor’s Degree in Computer Science, Information Technology, or a relevant field

  • Minimum Experience: 5+ years of professional experience in backend or full-stack software development with a focus on AI/ML integration

  • Required Technical Skills: * Python or Java for high-traffic application development

    • Modern AWS services including Serverless, Kubernetes, and EC2

    • Automation and configuration tools such as Ansible and Bash scripting

Visa sponsorship not available for this role

Benefits

We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: EchoStar Benefits.

The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location.

Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.

The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.

We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process.
EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact leaves@dish.com if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.
Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)


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