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Ai Platform Engineer Jobs in Colorado (NOW HIRING)

Agentic AI Platform Engineer

Denver, CO ยท On-site

$140 - $180/hr

Agentic AI Platform Engineer Location: Denver, CO - Hybrid (2-3 days onsite per week) Duration: 6-12 Month Contract-to-Hire Work Authorization: US Citizen or Green Card Holder Position Overview ...

New

Agentic AI Platform Engineer

Denver, CO ยท On-site

$110 - $150/hr

Agentic AI Platform Engineer Location: Denver, CO - Hybrid (2-3 days onsite per week) Duration: 6-12 Month Contract-to-Hire Work Authorization: US Citizen or Green Card Holder Position Overview ...

Agentic AI Platform Engineer Location: Denver, CO - Hybrid (2-3 days onsite per week) Duration: 6-12 Month Contract\-to\-Hire Work Authorization: US Citizen or Green Card Holder Position Overview ...

Data & AI Platform Engineer

Denver, CO ยท On-site

$117K - $141K/yr

Minimum 2 years in a data engineering, platform engineering, analytics engineering, or cloud ... Demonstrated experience with AI/ML/GenAI enablement (model lifecycle, AI Search, Azure OpenAI ...

As a Staff AI Platform Engineer, you will be one of the first hires to build the infrastructure, tooling, and integrations that put AI directly into the hands and workflows of every team across the ...

Senior Platform Engineer, AI

Denver, CO ยท On-site

$107K - $147K/yr

As a Senior AI Platform Engineer, you will be one of the first hires to build the infrastructure, tooling, and integrations that put AI directly into the hands and workflows of every team across the ...

Senior Data & AI Platform Engineer

Denver, CO ยท On-site

$69.25 - $92.75/hr

Minimum 6 years in data engineering, platform engineering, analytics engineering, or cloud ... Hands-on AI/ML/GenAI enablement experience (model lifecycle, AI Search, Azure OpenAI integration ...

Platform Engineer

Colorado Springs, CO ยท On-site

$77K - $176K/yr

R0240174 Platform Engineer The Opportunity: Join a mission focused team supporting the ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

Platform Engineer

Colorado Springs, CO ยท On-site

$77K - $176K/yr

Platform Engineer The Opportunity: Join a mission focused team supporting the modernization ... Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the ...

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Ai Platform Engineer information

See Colorado salary details

$34

$67

$99

How much do ai platform engineer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for ai platform engineer in Colorado is $67.25, according to ZipRecruiter salary data. Most workers in this role earn between $53.08 and $77.60 per hour, depending on experience, location, and employer.

What is an AI Platform Engineer?

AI Platform Engineers are technology professionals who design, build, and maintain the infrastructure that supports the development, deployment, and scaling of artificial intelligence (AI) and machine learning (ML) models. They work closely with data scientists and software engineers to ensure that AI solutions can run efficiently and securely in production environments. Their responsibilities often include managing cloud or on-premises platforms, automating workflows, and implementing best practices for model versioning, monitoring, and resource optimization.

How does an AI Platform Engineer typically collaborate with data scientists and software engineers in a project environment?

AI Platform Engineers often serve as a bridge between data scientists and software engineers, ensuring that machine learning models are seamlessly integrated into scalable, production-ready systems. They work closely with data scientists to understand model requirements and deployment needs, and with software engineers to embed these models within applications and services. This collaboration involves frequent communication, joint troubleshooting, and participation in code reviews to maintain a robust and efficient AI infrastructure.

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

To thrive as an AI Platform Engineer, you need strong programming skills (especially in Python and Java), a background in computer science or related fields, and experience with machine learning frameworks. Familiarity with cloud platforms (like AWS, Azure, or GCP), containerization tools (Docker, Kubernetes), and CI/CD systems is typically required, along with certifications such as Google Cloud Professional Machine Learning Engineer. Excellent problem-solving, collaboration, and communication skills help you integrate AI solutions across teams and projects. These competencies ensure the efficient development, deployment, and maintenance of scalable AI systems in dynamic production environments.

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

AspectAi Platform EngineerData Engineer
CredentialsBachelor's in CS, AI, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentDeveloping AI infrastructure, deploying ML models, working with cloud servicesBuilding data pipelines, managing data storage, ensuring data quality
Industry UsageTech companies, AI startups, cloud providersFinance, healthcare, e-commerce, any data-driven industry

While both roles involve working with data and cloud platforms, Ai Platform Engineers focus on building and maintaining AI infrastructure and deploying machine learning models. Data Engineers primarily develop data pipelines and manage data storage. The roles often collaborate but serve different core functions within AI and data ecosystems.

How to become an AI platform engineer?

To become an AI platform engineer, you should have a strong background in computer science, software engineering, or related fields, with expertise in machine learning frameworks, cloud computing, and programming languages like Python or Java. Gaining experience with AI tools, data management, and infrastructure deployment is essential, often supported by certifications in cloud platforms such as AWS or Azure. Building a portfolio of projects and staying updated on AI and DevOps practices can also enhance your qualifications.

What does an AI platform engineer do?

An AI platform engineer designs, develops, and maintains the infrastructure and tools needed to deploy and manage artificial intelligence models at scale. They work with cloud services, programming languages, and machine learning frameworks to ensure efficient model training, deployment, and monitoring in production environments.

What is the salary of AI platform engineer?

The salary of an AI platform engineer typically ranges from $100,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in cloud platforms and machine learning may earn higher compensation.

What job categories do people searching Ai Platform Engineer jobs in Colorado look for?

The top searched job categories for Ai Platform Engineer jobs in Colorado are:

What cities in Colorado are hiring for Ai Platform Engineer jobs?

Cities in Colorado with the most Ai Platform Engineer job openings:

Infographic showing various Ai Platform Engineer job openings in Colorado as of August 2026, with employment types broken down into 58% Full Time, 39% Part Time, 1% Temporary, and 2% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $139,879 per year, or $67.2 per hour.

AI Platform Engineer

Kforce Technology Staffing

Englewood, CO โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

RESPONSIBILITIES:
Kforce has a client that is seeking an experienced AI Platform Ops Engineer in Englewood, CO.
Summary:
The AI Platform Ops Engineer will help build, automate, and support a modern enterprise AI platform running on Databricks and AWS. This hands-on role is ideal for someone with a strong background in cloud infrastructure, platform engineering, and DevOps who is passionate about enabling scalable AI and machine learning solutions.
You will be responsible for maintaining a secure, reliable, and highly automated platform while partnering with engineering teams to support analytics, machine learning, and AI workloads.
Responsibilities:
* Administer and optimize Databricks workspaces in a production environment
* Build and manage infrastructure using Terraform and Infrastructure-as-Code best practices
* Develop and maintain CI/CD pipelines for platform deployments
* Implement and manage Unity Catalog governance, data classifications, and access controls
* Support AI platform integrations, including Model Context Protocol (MCP) frameworks and authentication
* Monitor platform health, troubleshoot production issues, and improve reliability
* Enforce cluster policies and contribute to platform cost optimization initiatives
* Create automation and self-service tools using Python and Bash scripting
* Document platform standards and mentor junior engineers on best practices
REQUIREMENTS:
* Must have 3+ years of experience in Platform Engineering, DevOps, Cloud Operations, or a related field
* Must have 3+ years of hands-on Databricks administration in a production environment
* Experience with Terraform or other Infrastructure-as-Code tools
* Strong experience with AWS services, including IAM, S3, and VPC
* Proficiency with Python and/or Bash scripting for automation
* Experience designing and maintaining CI/CD pipelines
* Knowledge of data governance, metadata management, and access controls within modern data platforms
* Strong troubleshooting, communication, and collaboration skills
Preferred Qualifications:
* Experience with Unity Catalog administration
* Familiarity with Databricks Asset Bundles
* Exposure to AI/ML infrastructure, LLM platforms, or AI agent frameworks (MCP)
* Experience supporting enterprise or highly regulated environments
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.

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About Kforce

Sourced by ZipRecruiter

Kforce is a professional staffing services firm that is located in Tampa, Florida, US. Operational since 1962, it specializes in flexible and direct hire staffing in Technology and Finance & Accounting, engaging over 23,000 highly skilled professionals annually with more than 4,000 customers. Kforce operates within various industry sectors such as healthcare, financial services, communications, and government. Their mission is to have a meaningful impact on all the lives they serve, with a focus on integrity, respect, and trust.

Industry

It services and finance and insurance

Company size

1,001 - 5,000 Employees

Headquarters location

Tampa, FL, US