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Ai Application Developer Jobs in Colorado (NOW HIRING)

Reviewer Workbench & application engineering * Reviewer-facing application - triage incoming documents, accept or override AI recommendations, annotate decisions * UI/UX patterns that match how ...

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Hands\-on Agentic AI \/ AI application engineering \n * Full\-stack software development background \n * Microsoft Copilot Studio \n * Low\-code \/ Power Platform \n * APIs, integrations and ...

Engineering, but brighter. About the Role As a Principal AI Engineer in Agent Factory, you will ... Expert-level ability to architect robust application layers that wrap around AI models, ensuring ...

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Ai Application Developer information

See Colorado salary details

$17

$55

$89

How much do ai application developer jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for ai application developer in Colorado is $55.35, according to ZipRecruiter salary data. Most workers in this role earn between $44.47 and $63.70 per hour, depending on experience, location, and employer.

What is an AI application developer?

An AI Application Developer is a professional who designs, builds, and maintains software applications that leverage artificial intelligence technologies. They work with programming languages, machine learning frameworks, and data to create intelligent systems such as chatbots, recommendation engines, or image recognition tools. AI Application Developers collaborate with data scientists and other engineers to integrate AI models into applications, ensuring they function efficiently and meet user needs. Their work spans industries like healthcare, finance, and retail, driving innovation through automation and smart solutions.

What skills and qualifications are needed to thrive as an AI application developer?

To thrive as an AI Application Developer, you need strong programming skills (especially in Python or Java), a solid understanding of machine learning concepts, and a relevant degree such as computer science or data science. Familiarity with frameworks like TensorFlow or PyTorch, experience with cloud platforms (AWS, Azure, or GCP), and certifications in AI or data science are highly valued. Creative problem-solving, collaboration, and effective communication help developers translate business needs into practical AI solutions. These skills and qualities are crucial for building robust, scalable AI applications that deliver real-world value.

How do AI application developers typically collaborate with data scientists and product managers during a project?

AI Application Developers often work closely with data scientists to integrate machine learning models into user-facing applications, ensuring the models function efficiently within production systems. Collaboration with product managers is also key, as developers help translate business requirements into technical solutions and provide feedback on feasibility and timelines. Regular cross-functional meetings and code reviews are common, fostering a collaborative environment that drives innovative and effective AI-powered products.

What is the difference between Ai Application Developer vs Data Scientist?

AspectAi Application DeveloperData Scientist
Required SkillsProgramming, AI frameworks, software developmentStatistics, data analysis, machine learning
Work EnvironmentSoftware development teams, tech companiesResearch labs, analytics teams
Common CertificationsAI certifications, programming coursesData science certifications, statistical credentials

While both roles involve AI and data, an Ai Application Developer primarily focuses on designing and building AI-powered applications using programming and AI frameworks. In contrast, a Data Scientist analyzes data to extract insights and build models, often working more on data analysis and statistical modeling. Both roles are essential in tech industries but serve different functions within AI projects.

How to become an AI application developer?

To become an AI application developer, you should gain a strong foundation in programming languages such as Python or Java, learn machine learning frameworks like TensorFlow or PyTorch, and develop skills in data analysis and algorithms. Earning relevant certifications or degrees in computer science, artificial intelligence, or related fields can also enhance your qualifications and job prospects.

What does an AI application developer do?

An AI application developer designs, builds, and maintains software applications that incorporate artificial intelligence and machine learning algorithms. They work with programming languages like Python or Java, utilize AI frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists to implement intelligent features in products or services.

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

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

What cities in Colorado are hiring for Ai Application Developer jobs?

Cities in Colorado with the most Ai Application Developer job openings:

Infographic showing various Ai Application Developer job openings in Colorado as of August 2026, with employment types broken down into 84% Full Time, and 16% Contract. Highlights an 88% In-person, 8% Hybrid, and 4% Remote job distribution, with an average salary of $115,131 per year, or $55.4 per hour.

AI Application Engineer

Denver, CO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


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:
We're building enterprise AI platforms that automate document-intensive review workflows across the business. The AI does the heavy lifting on document understanding, rule validation, and exception detection. The Product Engineer builds what users actually see and use - the reviewer workbench, the executive reporting layer, the data products, and the audit-ready outputs that turn AI insights into business decisions.

This is a hybrid product engineering + analytics engineering role. You'll partner with the AI Solution Architect (who owns the agents) and the MLOps Engineer (who owns the data platform) to ship the user-facing layer. You report to the Head of AI & Data Strategy. Responsibilities include but are not limited to:

Reviewer Workbench & application engineering

  • Reviewer-facing application - triage incoming documents, accept or override AI recommendations, annotate decisions
  • UI/UX patterns that match how reviewers actually work today (comment logs, page-level evidence links, override flows)
  • Feedback capture - every reviewer interaction trains the model and refines the rule packs
  • Application performance at scale - handling high document volumes with thousands of pages of supporting context
  • Surfacing of agent outputs, confidence scores, and citations to reviewers in a way they trust

Reporting, dashboards & executive visibility

  • Power BI dashboards on Databricks SQL Warehouse - review throughput, accuracy, time saved, operational metrics
  • Executive reporting layers for SLT and business leadership
  • Portfolio analytics - cross-domain benchmarks, trend analysis, anomaly surfacing
  • Quarterly reporting infrastructure for SteerCo and AI Program Council reviews

Data products & analytics engineering

  • Clean, documented Gold-layer data products on Unity Catalog - reusable across business stakeholders, IT Delivery, AI team
  • Output generators - auto-produce Excel + Word + linked evidence outputs per reviewed item, audit-ready by default
  • APIs and integration patterns surfacing platform outputs to enterprise systems and business workflows
  • Analytics engineering standards - dbt or equivalent modeling, version control, lineage, documentation

User research & adoption

  • Direct work with business users - what's slowing them down, what's working, what they need next
  • Fast-cadence iteration based on real user feedback, not quarterly release cycles
  • User documentation, training materials, onboarding flows for end users and report consumers
  • Cross-functional partnership with the AI Solution Architect, MLOps Engineer, business stakeholders, IT Delivery, SLT

THE DETAILS:

  • Location: Denver, CO
  • Travel: Under 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:

  • 5+ years building data-intensive applications, internal tools, or data products in production
  • Full-stack capability - modern web frameworks (React, Vue, or equivalent), Python or TypeScript, SQL
  • Production experience with at least one BI/reporting tool (Power BI preferred)
  • Strong SQL on Databricks SQL Warehouse, dbt, or equivalent lakehouse modeling
  • Proven UX intuition - you have shipped internal tools real users adopt and improved them based on observed behavior
  • Experience designing reporting consumed by executive stakeholders - balancing detail, accuracy, clarity
  • Microsoft 365 and Azure ecosystem familiarity (Power BI, SharePoint Online, Azure App Services, Entra ID)
  • Bachelor's degree in Computer Science, Engineering, or related field

Nice to have

  • Power BI Data Analyst Associate or Databricks Data Analyst Associate certifications
  • Document-heavy UX experience - PDF viewers, annotation tools, evidence linking, comment logs
  • Experience surfacing LLM outputs to end users - confidence scoring, override flows, citation interfaces
  • React + TypeScript + modern frontend tooling and component libraries
  • Embedded analytics (Power BI embedded, Looker embedded, or equivalent)
  • Construction, real estate, data center, or AEC industry context
  • Experience operating in a small AI team where you wear multiple hats

How you work

  • You build for the user in front of you. You would rather watch a user use what you built than read about adoption metrics.
  • You're comfortable with ambiguity. You figure out what the user needs by talking to them, not by waiting for a spec.
  • You ship small and often. Big quarterly releases are not your model.
  • You think about data products as products. A Gold-layer table should be documented, versioned, and reliable.

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.