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Ai Implementation Jobs in Colorado (NOW HIRING)

Slalom Consulting

General Information

Denver, CO · On-site

You will serve as a trusted advisor to senior leaders, helping organizations develop and execute strategies that drive successful AI implementation and business value realization. You will work ...

DaVita, Inc.

Sr. Director of Transformation

Denver, CO · On-site

$239K - $251K/yr

Ensure responsible AI implementation with appropriate governance, risk management, compliance, and measurable business outcomes. Business & Technology Partnership Leadership * Serve as the primary ...

GEI Consultants

AI Engineer

Denver, CO · On-site

$110K - $150K/yr

Design and implement prompt flows, plugins, and orchestrations using Copilot Studio and Azure Functions. * Integrate AI capabilities into business workflows and applications. * Integrate enterprise ...

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Ai Implementation information

How to get into AI implementation?

To pursue a career in AI implementation, develop strong skills in programming languages such as Python, understand machine learning frameworks like TensorFlow or PyTorch, and gain experience with data analysis and model deployment. Earning relevant certifications or degrees in computer science, data science, or AI can also enhance your qualifications.

What are the key skills and qualifications needed to thrive in the AI implementation position?

To excel in AI Implementation, you need a robust understanding of machine learning concepts, data analysis, and software development, often supported by a degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, cloud platforms (AWS, Azure), and AI integration frameworks is commonly required, along with relevant certifications. Strong project management, problem-solving abilities, and excellent communication skills are crucial for coordinating with stakeholders and driving adoption. Mastering both technical and interpersonal skills ensures projects are delivered effectively and meet business objectives within diverse organizational settings.

What is an AI implementation?

An AI Implementation job involves deploying artificial intelligence solutions within an organization to improve efficiency, automation, and decision-making. Professionals in this role work closely with data scientists, engineers, and business teams to integrate AI models into existing systems. They manage data pipelines, ensure model performance, and address challenges related to scalability and compliance. Strong technical skills, project management, and an understanding of business processes are essential for success in this role.

What kinds of teams and departments does an AI implementation professional typically collaborate with?

AI Implementation professionals usually work cross-functionally, interacting with data scientists, software engineers, IT departments, and business stakeholders to ensure AI solutions address specific business needs. Regular collaboration with product managers and operations teams helps align technical efforts with strategic objectives and regulatory requirements. You may also work closely with end users to gather feedback, refine implementations, and ensure a smooth adoption process. This collaborative environment not only enhances the quality of AI deployments but also offers valuable exposure to different aspects of the organization, fostering professional growth.

How to become an AI implementation specialist?

To become an AI implementation specialist, individuals typically need a strong background in computer science, data science, or related fields, along with knowledge of AI and machine learning algorithms. Gaining experience with programming languages like Python, familiarity with AI frameworks such as TensorFlow or PyTorch, and understanding of deployment environments are essential. Certifications in AI or cloud platforms can also enhance job prospects in this role.
What are popular job titles related to Ai Implementation jobs in Colorado? For Ai Implementation jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Ai Implementation jobs in Colorado look for? The top searched job categories for Ai Implementation jobs in Colorado are:
What cities in Colorado are hiring for Ai Implementation jobs? Cities in Colorado with the most Ai Implementation job openings:
Ai Implementation jobs near you
Infographic showing various Ai Implementation job openings in Colorado as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

Platform Engineer, AI (Levels I, II, III)

True Anomaly

Denver, CO • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 27 days ago

Job description

Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.
OUR MISSION
True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors - enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.
OUR VALUES
  • Be the offset. We create asymmetric advantages with creativity and ingenuity.
  • What would it take? We challenge assumptions to deliver ambitious results.
  • It's the people. Our team is our competitive advantage and we are better together.

YOUR MISSION
At True Anomaly, we're building the next generation of space defense. AI-assisted work is the biggest force multiplier available to a company at True Anomaly's stage. It accelerates how we build, how we deliver, and how we scale. We are investing in AI as a core operating capability, not a side experiment, and this role exists to help make that investment real.
As a Platform Engineer on the AI team, you will build the infrastructure, tooling, and integrations that put AI directly into the hands and workflows of every team across the company. This is not a research role. It is a building role. You will implement capabilities that engineers, program managers, operators, and business teams use every day to move faster and produce better work.
Your work will include building connectors between AI models and internal systems, developing custom AI-powered applications for specific workflows, implementing API integrations, and contributing to platform infrastructure. You will work closely with Senior and Staff engineers who will provide technical guidance, code review, and mentorship as you grow your expertise in AI systems and platform engineering.
The platform engineering org, reporting to the Chief Security Officer, works across the enterprise, from engineering and product to marketing and finance. You will have the opportunity to see your work directly accelerate how a fast-growing defense technology company operates with AI.
RESPONSIBILITIES
  • Build and maintain AI platform components: API integrations, system connectors (MCP, tool use), authentication flows, and data pipelines that connect AI models to internal tools
  • Develop custom AI-powered applications and workflows for specific business use cases, working from requirements and technical designs provided by senior engineers
  • Write clean, well-tested code in Python, TypeScript, or similar languages, following team coding standards and best practices
  • Participate in code reviews, technical discussions, and platform architecture decisions, contributing your perspective and learning from more experienced engineers
  • Help maintain documentation for AI platform services, including API references, integration guides, and troubleshooting resources
  • Support AI training and enablement efforts by contributing to internal resources, attending office hours, and helping teams adopt AI tools
  • Work with engineering, security, and IT teams to ensure AI implementations meet government security and compliance requirements
  • Stay current with AI developments and implement them into solutions for the company.

QUALIFICATIONS
  • Successful candidates demonstrate strong fundamentals, ability to learn quickly, and growing independence in delivering technical work. They will be passionate about AI, while understanding its limitations.
  • Software engineering experience building and shipping code, ideally in Python, TypeScript, or similar languages common in AI/ML tooling
  • Experience using the latest AI powered development tools to deliver production code and automate routine tasks. You can read, write, and understand code in at least one common programming language like Python, Typescript.
  • Familiarity with REST APIs, webhooks, or other integration patterns for connecting software systems
  • Understanding of large language model APIs and concepts like prompting, tool use, or RAG (retrieval-augmented generation)
  • Ability to learn quickly, ask good questions, and work effectively with more senior engineers
  • Effective written and verbal communication skills
  • Comfortable working in a fast-paced environment where priorities shift and requirements evolve
  • US Citizenship and ability to obtain and maintain a Top-Secret security clearance

PREFERRED SKILLS AND EXPERIENCE
  • Experience with cloud platforms (AWS, Azure, GCP) or infrastructure-as-code tools
  • Familiarity with CI/CD pipelines, testing frameworks, or DevOps practices
  • Experience building integrations with enterprise software (Slack, Jira, Confluence, etc.)
  • Background in government, defense, or regulated industries with security and compliance requirements
  • Experience with agent frameworks (CrewAI, Pydantic AI, LangChain) or embedding/vector databases
  • Active U.S. Secret or Top-Secret security clearance

COMPENSATION
  • Colorado Base Salary (L1 to L3): $120,000-$225,000
  • California Base Salary (L1 to L3): $125,000-$235,000
  • Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, location, and experience.
ADDITIONAL REQUIREMENTS
Work Location- Long Beach, CA, or Denver, CO. While we observe a hybrid work environment, you will need to be onsite as the business needs require. Onsite requirements are subject to change, particularly when work on classified systems is required. On an average week, you can expect to spend at least 3 days per week in office.
Work environment-the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
Physical demands-the physical demands of the job, including bending, sitting, lifting and driving.
This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us.

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