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Artificial Intelligence Jobs in Colorado (NOW HIRING)

EchoStar

Security AI Technologist

Littleton, CO

$127K - $181K/yr

Enterprise security infrastructure faces accelerating threats alongside rapid adoption of generative artificial intelligence technologies. This role addresses critical vulnerabilities, architectural ...

Deloitte

Lead AI and Data Science Engineer II

Denver, CO

$105K - $139K/yr

Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics, artificial intelligence (AI), and generative artificial intelligence (GenAI) solutions that inform Talent ...

Eliassen Group

Business Intelligence Analyst

Almont, CO · On-site

$50 - $55/hr

Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the ...

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All JobsArtificial Intelligence JobsArtificial Intelligence Jobs in Colorado

Artificial Intelligence information

See Colorado salary details

$11.6K

$108.2K

$139.9K

How much do artificial intelligence jobs pay per year?

As of Aug 8, 2026, the average yearly pay for artificial intelligence in Colorado is $108,241.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,400.00 and $139,300.00 per year, depending on experience, location, and employer.

What is the job outlook for careers in artificial intelligence?

The job outlook for careers in artificial intelligence is excellent. Over the next few decades, AI is expected to grow explosively as it becomes capable of accomplishing more tasks. With this growth comes the need for information technology experts to determine how and where to implement artificial intelligence at various companies. The United States Bureau of Labor Statistics expects computer occupations to increase by about 13% between 2016 and 2026. This is almost twice the average growth rate for all trades. Not all of these jobs involve artificial intelligence, but many of them do, and that number should increase over time.

What are some common challenges faced by professionals working in artificial intelligence roles, and how can they be addressed?

Professionals in Artificial Intelligence often face challenges such as keeping up with rapidly evolving technologies, managing large and complex datasets, and ensuring the ethical use of AI systems. Collaboration with data engineers, domain experts, and ethicists is crucial to overcome these hurdles. Continuous learning through courses, workshops, and industry conferences helps AI specialists stay updated, while strong communication skills aid in translating technical findings for stakeholders and integrating AI solutions effectively into business processes.

What is the difference between Artificial Intelligence vs Data Scientist?

AspectArtificial IntelligenceData Scientist
Required CredentialsTypically degrees in Computer Science, AI, or related fields; certifications in machine learning or AI toolsDegrees in Statistics, Computer Science, or related fields; certifications in data analysis or machine learning
Work EnvironmentResearch labs, tech companies, AI startups, often focused on developing algorithms and modelsBusiness environments, analytics firms, tech companies, focusing on data analysis and insights
Employer & Industry UsageUsed across tech, healthcare, finance, and automotive industries for developing intelligent systemsUsed in finance, marketing, healthcare, and tech for data analysis, predictive modeling, and decision support

Artificial Intelligence professionals focus on creating intelligent systems and algorithms, while Data Scientists analyze data to extract insights. Both roles require strong technical skills, but AI emphasizes developing models, whereas Data Scientists focus on interpreting data to inform decisions.

More about Artificial Intelligence jobs
What are the most commonly searched types of Artificial Intelligence jobs in Colorado? The most popular types of Artificial Intelligence jobs in Colorado are:
What are popular job titles related to Artificial Intelligence jobs in Colorado? For Artificial Intelligence jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence jobs in Colorado look for? The top searched job categories for Artificial Intelligence jobs in Colorado are:
What cities in Colorado are hiring for Artificial Intelligence jobs? Cities in Colorado with the most Artificial Intelligence job openings:
Artificial Intelligence jobs near you
Infographic showing various Artificial Intelligence job openings in Colorado as of August 2026, with employment types broken down into 87% Full Time, 5% Part Time, and 8% Contract. Highlights an 84% In-person, 2% Hybrid, and 14% Remote job distribution, with an average salary of $108,241 per year, or $52 per hour.

Artificial Intelligence ("AI") Architect

STI

Denver, CO • On-site, Remote

Full-time

Re-posted yesterday

Job description

Description:
The AI Program Manager will be a key member of the Chief Data Office team, responsible for driving the strategy and execution of an AI framework within the state government. This role will require a unique blend of technical expertise, strategic vision, and leadership skills, including a close collaboration with OIT resources and agency stakeholders across various state departments to develop product roadmaps, govern AI use cases and ensure alignment with the broader state strategy serving Colorado residents. This role will lead the development and implementation of a comprehensive AI framework for the State, ensuring responsible and beneficial use of AI across government agencies.
Responsibilities:
The Chief Data Office (CDO) is seeking a skilled and motivated AI Lead role to spearhead the State of Colorado's efforts in adopting and implementing artificial intelligence across government agencies. This role requires a unique blend of technical expertise, collaborative leadership and ability to drive program details. The AI Lead will be responsible for guiding the development and execution of AI initiatives, ensuring responsible use, fostering innovation, and maximizing the benefits of AI for Colorado residents.
AI Strategy and Implementation
  • Define and champion the vision, strategy and roadmap for AI adoption across state government, aligning with key priorities for Colorado residents
  • Collaborate with agency stakeholders and OIT resources to identify and prioritize AI opportunities that improve efficiency, service delivery, and citizen engagement.

AI Product and Technology Leadership
  • Collaborate with agency stakeholders and product managers to guide the development and deployment of AI solutions.
  • Provide expert advice and support to agencies on AI-related matters, including technology selection, data governance, and responsible AI practices.
  • Stay abreast of advancements in AI technologies, including GenAI, and provide guidance on their responsible application within government.

AI Governance and Compliance
  • Establish and enforce clear processes for AI project assessment, approval, testing, and monitoring to ensure alignment with state objectives and responsible AI principles.
  • Ensure compliance with relevant state and federal laws, regulations, and policies related to AI development and deployment.
  • Contribute to the development and refinement of AI-related policies and regulations to address emerging challenges and opportunities.
  • Proactively identify and mitigate potential biases and risks associated with AI systems to ensure fairness, equity, and accountability.
  • This role requires meticulous attention to detail in all aspects of AI implementation, governance processes, and product support.

GenAI Expertise:
  • Stay abreast of advancements in GenAI applications and techniques.
  • Understand the cost, data constraints, and potential biases associated with GenAI development and their influence on AI product development.
  • Assist engineers in evaluating GenAI solutions and vendors to ensure they meet the state's requirements for ethical AI and responsible use.

Stakeholder Engagement and Communication:
  • Build and maintain strong relationships with key stakeholders including agency leaders, service owners, technology experts, legal counsel, 3rd party vendors, and community representatives.
  • Facilitate cross-agency collaboration and knowledge sharing on AI initiatives.
  • Raise awareness of AI's potential benefits and risks within the state government.
  • Support training and education on AI products and responsible AI practices.

Champion Responsible AI:
  • Champion responsible AI development and deployment practices across state agencies.
  • Promote transparency and accountability in AI product development and deployment.
  • Reinforce human oversight of AI initiatives to maintain ethical and responsible use.

Attention to Detail:
  • This role requires meticulous attention to detail in all aspects of AI implementation, governance processes, and product support.
  • The AI Lead must be able to identify and address potential risks and inconsistencies in AI systems, data, and documentation to ensure accuracy, compliance, and ethical considerations are met.

Qualifications:
  • Education and Experience:
    Bachelor's degree in computer science, data science, or a related field.
    • 5+ years of experience in the field of artificial intelligence, including experience with machine learning, deep learning, natural language processing, and computer vision.
    • 5+ years of experience in a leadership role, with proven ability to develop and implement strategic initiatives.
    • Demonstrated experience in defining product vision, strategy, and roadmaps.
    • Experience in working with cross-functional teams, including engineers, data scientists, and business stakeholders.
    • Experience in product/program management, with a focus on technology or AI-driven products.
    • Experience working in the public sector or with government agencies is highly desirable.

  • Skills and Knowledge:
    • Deep understanding of AI use cases, technologies, ethical considerations, and policy implications.
    • Strong strategic & critical thinking and planning skills.
    • Attention to detail.
    • Strong technical and business communication skills, with the ability to translate complex technical concepts to non-technical audiences.
    • Excellent communication, interpersonal, and presentation skills.
    • Ability to build consensus and collaborate effectively with diverse stakeholders.
    • Knowledge of data governance, security, and privacy best practices.
    • Familiarity with relevant state and federal laws and regulations.
    • Understanding of responsible AI development principles, including fairness, transparency, and accountability.
    • Awareness of cost, and data constraints for GenAI development and their influence on AI product development.
    • Grant proposal development.

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