AI Data Engineer Jobs in Colorado
AI Data Engineer jobs in Colorado are among the most actively recruited technical roles in the state, concentrated in aerospace and defense, financial services, and enterprise software, with demand running from mid-level engineers through senior and staff positions. Denver, Boulder, and Colorado Springs account for the largest share of openings, anchored by established employers like Lockheed Martin, Palantir, and DISH Network. The most sought-after specialties are ML pipeline development, real-time data infrastructure, and large language model integration. See the openings below and apply to the ones that match your experience.
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Join Us! CDM Smith – where amazing career journeys unfold.
Imagine a place committed to offering an unmatched employee experience. Where you work on projects that are meaningful to you. Where you play an active part in shaping your career journey. Where your co-workers are invested in you and your success. Where you are encouraged and supported to do your very best and given the tools and resources to do so. Where it’s a priority that the company takes good care of you and your family.
Our employees are the heart of our company. As an employer of choice, our goal is to provide a challenging, progressive and inclusive work environment which fosters personal leadership, career growth and development for every employee. We value passionate individuals who challenge the norm, deliver world-class solutions and bring diverse perspectives. Join our team, and together we will make a difference and change the world.
CDM Smith is seeking a Data and AI Solution Manager to join our Business Technology team. At CDM Smith, we see the value of what AI can bring to our company, and we are actively adopting and implementing AI Agents and Generative AI technologies to boost productivity across our business. You will lead the development and execution of our enterprise AI platform. This position will serve as the bridge between business stakeholders, product users, technology teams and implementation partners to ensure our enterprise AI platform delivers measurable business value.
The ideal candidate will have a proven track record leading the implementation of AI solutions, is a strategic thinker, has a strong delivery and technical background, is curious, and has exceptional communication and problem-solving skills.
Key responsibilities include:
- Lead cross functional delivery teams working on the enterprise AI platform.
- Ensure projects are delivered on time, within scope, and meets business expectations.
- Partner with Business Stakeholders to develop and execute the enterprise AI platform strategy and roadmap.
- Identify and prioritize features and functionality based on business value, feasibility, risk, and organizational readiness.
- Work with Product Owners to translate business needs into prioritized backlogs and release plans.
- Facilitate workshops to understand current challenges and future opportunities.
- Collaborate with the Solution Architect and cross functional delivery teams to ensure AI solutions are designed for scalability, reliability, security, maintainability, and responsible use.
- Work with the Product Owners and Business Stakeholders to develop strategies for user adoption, change management, and training.
- Establish and track KPIs related to adoption, cost, performance, and usage across the platform.
- Present performance metrics and recommendations to executive leadership.
- Partner with governance teams to establish standards and best practices for AI enabled products.
- Mentor and guide junior team members and foster a culture of learning and development.
#LI-LP1
#LI-HYBRID
Skills & Abilities:- Proven ability to lead cross functional delivery teams involving business, technology, and data stakeholders.
- Strong understanding of generative AI, large language models, AI agents, RAG, vector databases, and prompt engineering.
- Strong program and project management skills with experience managing multiple initiatives simultaneously.
- Ability to develop business cases, investment recommendations, roadmaps, and executive presentations.
- Ability to build relationships and align stakeholders with competing priorities.
- Understands and has used cloud technologies such as Azure.
- Knowledge of data management, data governance, and information architecture concepts.
- Understands system integrations, data pipelines, APIs, and enterprise application architecture.
- Product-oriented mindset with experience taking capabilities from idea to production.
- Experience identifying, prioritizing, and delivering technology or AI use cases based on value and feasibility.
- Strong understanding of agile product development and backlog prioritization.
- Demonstrated ability to lead through influence across an enterprise.
- Strong communication skills with the ability to explain AI concepts to executives, business leaders, and technical teams.
- Flexibility and adaptability to work in a growing environment.
- Strong understanding of organizational change management and technology adoption.
- Experience using analytics and reporting tools to measure product performance.
- Ability to listen, build rapport, and credibility within IT and across various business units.
- Experience working with and directing offshore teams.
- Bachelor's degree.
- 10 years of related with at least 2 years of those in a management or leadership capacity.
Equivalent additional directly related experience will be considered in lieu of a degree.
See All 12 AI Data Engineer Jobs in Colorado
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Find AI Data Engineer JobsAI Data Engineer Jobs by City in Colorado
Where Colorado roles are concentrated, by current openings.
AI Data Engineer Job Market in Colorado
A snapshot from current Colorado openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Technology & Software
- Accounting & Auditing
- Electronics & Hardware
- Healthcare & Medical Services
- Investment & Asset Management
What Colorado Employers Look For
The qualifications that appear most often in AI data engineer jobs across Colorado.
- Bachelor's or master's degree in computer science, data engineering, or a related field
- Proficiency in Python and SQL with experience building and maintaining data pipelines
- Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud
- Familiarity with ML frameworks like TensorFlow, PyTorch, or Hugging Face
- Experience with distributed data systems such as Apache Spark or Kafka
- Strong knowledge of data modeling, ETL processes, and version control with Git
AI Data Engineer Jobs in Colorado: Frequently Asked Questions
How do you become a ai data engineer in Colorado?
Most ai data engineers in Colorado enter the field through a bachelor's degree in computer science, data science, or software engineering, followed by hands-on experience with cloud and ML tooling. There is no state-issued license required for this role in Colorado. Employers across Denver and Boulder consistently hire candidates who demonstrate proficiency through portfolio projects, relevant certifications from cloud providers, or contributions to open-source data infrastructure work.
How much do AI data engineers make in Colorado?
AI data engineers in Colorado earn a median of about $117,400 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $74,470 for the lowest 10% to over $189,630 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai data engineers in Colorado?
Companies currently hiring ai data engineers in Colorado include Hewlett Packard Enterprise | HPE, DaVita, and Klaviyo, per current listings on Migrate Mate as of September 2026. Colorado's strong defense, aerospace, and enterprise software sectors mean ai data engineers often work on production-scale systems with unusually complex data requirements.
Which Colorado cities have the most ai data engineer jobs?
Denver, Boulder, and Fort Collins have the most ai data engineer openings in Colorado. Denver leads because of its dense concentration of financial services, healthtech, and enterprise software companies, while Boulder draws heavily from its startup and research ecosystem anchored by institutions like NCAR and CU Boulder, and Colorado Springs sees consistent demand from defense and aerospace contractors operating near the military installations there.
Are there remote ai data engineer jobs in Colorado?
Yes, and more than most fields. About 60% of ai data engineer openings tied to Colorado are remote or hybrid as of September 2026, reflecting how naturally the work fits distributed environments. Data pipeline development, model training, and cloud infrastructure work are the parts of the role most commonly performed fully remote, while on-site expectations tend to apply mainly at government contractors with security clearance requirements.
How can I get hired as a ai data engineer in Colorado with little or no experience?
The most realistic entry path is moving into an ai data engineer role from an adjacent position such as data analyst, software developer, or BI engineer at a Colorado employer. Companies like Palantir and DISH Network, along with Boulder-area startups, regularly bring on junior candidates who demonstrate strong Python skills and a portfolio of pipeline or ML projects. Earning a cloud certification from AWS or Google Cloud strengthens an application considerably, as does completing a data engineering capstone through a Colorado university bootcamp or graduate program.
Where can I find and apply to ai data engineer jobs in Colorado?
You can find and apply to ai data engineer jobs in Colorado on Migrate Mate, which lists current openings tied to the Colorado market. Search the roles that fit your experience level and target industry, then apply directly to the ones that match. No sign-up is required to view or apply to the listings.
See All 12 AI Data Engineer Jobs in Colorado
Find roles in Colorado that match your experience and apply in just a few clicks.
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