ZipRecruiter

Log In

1

Ai Software Jobs in Colorado (NOW HIRING)

BillGO, Inc.

AI Data Analytics Engineer

Fort Collins, CO · On-site

$113K - $135K/yr

Your work turns BillGO's AI Three-Level Framework, Internal Efficiency, Revenue Acceleration, and Customer Value, into shipped, reliable analytics and AI software. WHAT YOU WILL OWN: * The design ...

BillGO, Inc.

AI Data Analytics Engineer

Fort Collins, CO · On-site

$102K - $146K/yr

Your work turns BillGO's AI Three-Level Framework, Internal Efficiency, Revenue Acceleration, and Customer Value, into shipped, reliable analytics and AI software. WHAT YOU WILL OWN: * The design ...

asrcfh

AI/ML Software Engineer

Colorado Springs, CO · On-site

We are seeking highly motivated Software Engineers to join our team as an AI Engineer at Schriever Space Force Base, in Colorado Springs, CO. This exciting career opportunity is responsible for the ...

asrcfh

AI/ML Software Engineer

Colorado Springs, CO

We are seeking highly motivated Software Engineers to join our team as an AI Engineer at Schriever Space Force Base, in Colorado Springs, CO. This exciting career opportunity is responsible for the ...

previous pagenext page

Showing results 21-40

All JobsAi Software JobsAi Software Jobs in Colorado

Ai Software information

See Colorado salary details

$39.4K

$99.7K

$151.4K

How much do ai software jobs pay per year?

As of Sep 4, 2026, the average yearly pay for ai software in Colorado is $99,683.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,700.00 and $117,700.00 per year, depending on experience, location, and employer.

What is the difference between Ai Software vs Data Scientist?

AspectAi SoftwareData Scientist
Required CredentialsTypically certifications in AI tools, programming languages (Python, R), and machine learningDegree in Data Science, Computer Science, or related fields; often includes certifications in analytics or machine learning
Work EnvironmentDeveloping, testing, and deploying AI models in software development teamsAnalyzing data, building models, and deriving insights in research or business settings
Employer & Industry UsageTech companies, AI startups, software firmsFinance, healthcare, tech, consulting firms

Ai Software involves creating and implementing AI tools and applications, often requiring programming and software development skills. Data Scientists focus on analyzing data, building predictive models, and providing insights. While both roles work with data and machine learning, Ai Software emphasizes software development and deployment, whereas Data Scientists concentrate on data analysis and interpretation.

What is the easiest AI Software job to get?

Entry-level AI software roles such as AI support technician or junior developer are generally the easiest to obtain, often requiring basic programming skills in languages like Python and familiarity with AI frameworks. These positions typically have lower experience requirements and may offer on-the-job training or certifications to help new entrants get started.

What jobs can I get working with AI?

Jobs working with AI include roles such as AI software engineer, machine learning engineer, data scientist, AI researcher, and AI product manager. These positions typically require skills in programming, data analysis, and understanding of AI algorithms, often using tools like Python, TensorFlow, or PyTorch.

What cities in Colorado are hiring for Ai Software jobs?

Cities in Colorado with the most Ai Software job openings:

Ai Software jobs near you
Infographic showing various Ai Software job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 9% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $99,683 per year, or $47.9 per hour.

AI Data Analytics Engineer

BillGO, Inc.

Fort Collins, CO • On-site

$113K - $135K/yr

Full-time

Re-posted 21 days ago

Job description

BillGO is building the next generation of payments. Our vision is to be the payment accelerator for Small Business: an intelligent network that helps businesses get paid faster, operate leaner, and grow with confidence.

We are hiring an AI Data Analytics Engineer to design, build, and ship the data, analytics, and AI capabilities that power BillGO's AI/Data Platform, from trusted data models and self-serve analytics that speed up internal decision-making to AI-native features that turn data into value for Small Businesses. This is a hands-on role that blends analytics engineering with applied AI at the center of BillGO's AI-native strategy.

You will sit within BillGO's Data Platform & Intelligence organization, partnering closely with Application Engineering, Platform Engineering, and Product to move data and AI capabilities from idea to production. Your work turns BillGO's AI Three-Level Framework, Internal Efficiency, Revenue Acceleration, and Customer Value, into shipped, reliable analytics and AI software.

WHAT YOU WILL OWN:

  • The design, build, and delivery of data models, analytics pipelines, and AI/ML features embedded in BillGO's payments products and internal tools.
  • Warehouse and semantic-layer modeling, metrics definitions, and self-serve analytics that make trusted data accessible across the business.
  • Integration of large language models, embeddings, and retrieval-augmented generation (RAG) systems that turn analytics data into intelligent experiences.
  • Data pipelines, evaluation frameworks, and monitoring that keep analytics and AI features accurate, safe, and observable in production.
  • Prompt engineering, model selection, and build-versus-buy tradeoffs balancing quality, latency, and cost.
  • Responsible and secure use of data and AI appropriate for a regulated payments environment.
  • Partnership with Application Engineering, Platform Engineering, and Data Platform & Intelligence to embed analytics and AI into existing services and APIs.

WHAT WE ARE LOOKING FOR:

  • 3-5 years of experience building and shipping production software or data products, with meaningful experience in analytics engineering and AI/ML feature development.
  • Proficiency in Python and SQL, and experience with modern data and AI/ML tooling: data warehouses (e.g., Snowflake, BigQuery, Redshift), transformation frameworks (e.g., dbt), LLM APIs, vector databases, embeddings, and orchestration frameworks such as LangChain, LangGraph, or similar.
  • Solid engineering fundamentals: data modeling, APIs, cloud platforms, CI/CD, testing, and observability.
  • Understanding of BI and analytics tooling, semantic layers, prompt engineering, RAG, model evaluation, and guardrail or safety practices.
  • Experience with data pipelines and both structured and unstructured data.
  • Fintech, payments, or regulated-industry experience is a plus but not required.
  • Strong collaboration and communication skills; comfortable working cross-functionally with product, platform, and data teams.

Apply