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Ai Prompt Engineer Jobs in Colorado (NOW HIRING)

Go West IT

AI & Automation Engineer

Greenwood Village, CO · On-site

$145K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Develop prompt engineering standards, reusable prompt libraries, and AI workflows * Create internal AI tools that increase technician productivity and automate repetitive work * Evaluate emerging AI ...

Campminder

Senior AI Engineer

Boulder, CO · On-site +1

$108K - $148K/yr

Experience with RAG, prompt engineering, context engineering, and LLM evals * Experience building production AI observability, including prompt/input/output logging, token spend tracking, and ...

Eliassen Group

AI Software Engineer

Greenwood Village, CO · On-site

$50 - $56/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Your work will establish engineering standards and enable scalable, cost-aware AI adoption across ... Develop reusable prompt templates, steering files, and workspace configurations to standardize AI ...

asrcfh

AI/ML Software Engineer

Colorado Springs, CO · On-site

Experience with Large Language Models/Generative AI and Prompt Engineering. Also, using LLM/GAI solutions for usage in human-machine teaming for Software Development * Familiarity with Linux ...

Deloitte

Google AI Lead Architect

Denver, CO

$56.75 - $78/hr

Join our AI & Engineering team in transforming technology platforms, driving innovation, and ... Design, fine-tune, evaluate, and govern LLM solutions with Gemini on Vertex AI (prompt/tool ...

Holland & Knight

AI Legal Engineer

Denver, CO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... prompt design, retrieval pipelines, document templates, evaluations, and guardrails with practice-group-facing training, enablement, and change management. The AI Legal Engineer will serve as a ...

Campminder

Senior AI Engineer

Boulder, CO · On-site +1

$108K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Experience with RAG, prompt engineering, context engineering, and LLM evals * Experience building production AI observability, including prompt/input/output logging, token spend tracking, and ...

Gusto, Inc.

Sr. Staff AI/ML Engineer

Denver, CO · On-site

$245K - $272K/yr

Mentor engineers across teams, raising the bar on AI/ML best practices and fostering a culture of ... Hands-on experience building LLM-based applications and agentic workflows - including prompt ...

Programmers.io

Data Scientist in AI

Denver, CO · On-site

Strong Python with ML/AI development and prompt engineering * Data visualization and storytelling * Strong SQL skills * Leadership and stakeholder collaboration Responsibilities: * Build and deploy ...

micro1 AI

Business Document AI Trainer - Remote

Denver, CO · Remote

$35 - $50/hr

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will ... Familiarity with conversational interactions or prompt engineering with language models is a plus ...

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All JobsAi Prompt Engineer JobsAi Prompt Engineer Jobs in Colorado

Ai Prompt Engineer information

See Colorado salary details

$26

$56

$80

How much do ai prompt engineer jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for ai prompt engineer in Colorado is $56.39, according to ZipRecruiter salary data. Most workers in this role earn between $45.48 and $65.48 per hour, depending on experience, location, and employer.

How do I become an AI prompt engineer?

To become an AI prompt engineer, develop strong skills in natural language processing, machine learning, and programming languages like Python. Gain experience with AI models such as GPT and learn how to craft effective prompts through practice and understanding of model behavior. Relevant certifications or courses in AI and data science can also enhance your qualifications.

Is AI prompt engineer still in demand?

AI prompt engineers are currently in high demand as organizations seek to optimize interactions with AI language models. The role requires skills in natural language processing, creativity, and familiarity with AI tools like GPT, with demand expected to grow as AI adoption expands across industries.

What is an AI prompt engineer?

An AI Prompt Engineer designs, tests, and optimizes prompts to improve the performance of AI language models. They ensure that AI-generated responses align with desired outcomes by refining input prompts and analyzing model behavior. This role requires a mix of technical skills, creativity, and an understanding of natural language processing (NLP). Prompt engineers often collaborate with developers, data scientists, and product teams to enhance AI interactions.

How much do AI prompt engineers make?

AI prompt engineers typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and natural language processing can command higher salaries. Compensation may also include benefits such as bonuses and stock options.

What does an AI prompt engineer do?

As an AI Prompt Engineer, your day-to-day work often involves designing, testing, and refining prompts to improve the performance and accuracy of AI models for various applications. You'll frequently collaborate with data scientists, product managers, and software developers to understand requirements and integrate AI solutions effectively. Analyzing prompt outputs, troubleshooting issues, and documenting best practices are integral parts of the role. This position offers a dynamic and intellectually stimulating environment where continual learning and innovation are encouraged.

What are the key skills and qualifications needed to thrive as an AI prompt engineer?

To thrive as an AI Prompt Engineer, a solid background in natural language processing, programming (such as Python), and understanding of machine learning concepts is essential, typically supported by a degree in computer science or a related field. Experience with AI frameworks (like OpenAI's APIs), prompt engineering tools, and familiarity with cloud platforms are highly valued and may be supplemented by certifications in AI or data science. Strong analytical thinking, creativity, and excellent communication skills allow for designing effective prompts and collaborating with technical and non-technical stakeholders. These skills and qualities ensure the development of high-quality AI solutions that meet user needs and maximize the effectiveness of language models.

What are the most commonly searched types of Ai Prompt Engineer jobs in Colorado? The most popular types of Ai Prompt Engineer jobs in Colorado are:
What are popular job titles related to Ai Prompt Engineer jobs in Colorado? For Ai Prompt Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Ai Prompt Engineer jobs in Colorado look for? The top searched job categories for Ai Prompt Engineer jobs in Colorado are:
What cities in Colorado are hiring for Ai Prompt Engineer jobs? Cities in Colorado with the most Ai Prompt Engineer job openings:
Ai Prompt Engineer jobs near you
Infographic showing various Ai Prompt Engineer job openings in Colorado as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $117,299 per year, or $56.4 per hour.

AI & Automation Engineer

Go West IT

Greenwood Village, CO • On-site

$145K - $175K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

As a leading MSSP in Colorado, Go West IT is the trusted guide to the digital frontier. Our mission is to help companies benefit from technology by expertly guiding them to opportunities and protecting them from harm. We do this by providing a team of trusted guides with the knowledge, skills, and expertise needed to navigate this constantly changing landscape. Our entire team is continually building their knowledge base, keeping us ahead of the technology curve and helping us succeed at our mission.
As the AI & Automation Engineer, you will be a member of the MSP Team, helping transform how we deliver technology services by designing, building, and maintaining AI-powered solutions and intelligent automations. This role combines traditional automation engineering with modern AI engineering to improve internal operations, increase efficiency, and enhance the client experience.
You will develop AI agents, LLM-powered workflows, automation scripts, integrations, and cloud-native solutions that eliminate repetitive work, accelerate service delivery, and enable data-driven decision making. You'll work closely with engineering, service desk, account management, and leadership teams to identify opportunities where automation and AI can deliver measurable business value.
What you can expect from us:
  • Opportunity to be an integral part of an organization on the cutting edge of AI and technical innovation
  • A fast-paced environment where every day brings new technical challenges and opportunities
  • Opportunity to research, experiment with, and implement emerging AI technologies
  • A commitment to professional development with resources to continuously learn and grow
  • Collaboration with an exceptionally talented and supportive technical team
  • Hybrid work environment
  • Company-paid events and employee recognition programs
  • Competitive annual salary range of $145,000-$175,000 and comprehensive benefits including PTO, medical, dental, vision, life, disability, and 401(k) with generous company match

What we will expect from you:
  • Consistently demonstrate Go West's Core Values
  • Passion for solving complex business problems through automation and AI
  • Strong ownership mentality with the ability to independently drive projects from concept through deployment
  • Excellent written and verbal communication skills
  • Ability to explain technical AI concepts to non-technical audiences
  • Strong analytical thinking and curiosity for emerging technologies
  • Exceptional documentation habits and commitment to maintainable code
  • Ability to prioritize multiple initiatives while managing stakeholder expectations
  • Continuous improvement mindset with enthusiasm for learning new tools and technologies

What you will be doing:
AI Engineering:
  • Design, develop, and deploy AI-powered solutions that improve internal operations and client service delivery
  • Build and maintain AI agents using Claude and other modern LLM technologies
  • Develop prompt engineering standards, reusable prompt libraries, and AI workflows
  • Create internal AI tools that increase technician productivity and automate repetitive work
  • Evaluate emerging AI technologies and recommend adoption where appropriate
  • Develop retrieval-augmented generation (RAG) solutions utilizing company documentation and knowledge bases
  • Build AI-assisted reporting, knowledge management, and operational tools
  • Establish and maintain AI governance frameworks, testing standards, monitoring processes, and security controls to ensure all AI solutions follow industry best practices and protect internal and client data throughout the AI lifecycle
  • Ensure all AI solutions follow approved governance policies, access controls, auditability requirements, and secure-by-design principles throughout the development lifecycle

Automation Engineering:
  • Develop, test, and deploy automation scripts across business systems and managed service platforms
  • Build integrations between PSA, RMM, Microsoft 365, Azure, security platforms, and other business applications
  • Develop PowerShell and API-driven automation for Windows, macOS, Linux, and cloud environments
  • Automate software deployment, monitoring, remediation, and infrastructure management
  • Improve existing automation frameworks and identify new automation opportunities across the organization

Cloud & DevOps:
  • Develop and maintain Azure Functions, Logic Apps, Automation Accounts, and other cloud-native services
  • Build and maintain CI/CD pipelines using Azure DevOps
  • Manage Git repositories, branching strategies, code reviews, and release processes
  • Maintain secure development practices including secrets management and Key Vault integration
  • Monitor production AI and automation solutions for reliability and performance

Collaboration & Innovation:
  • Partner with technical teams to identify automation opportunities
  • Work alongside leadership to prioritize AI initiatives with measurable ROI
  • Document standards, architecture, and implementation procedures
  • Participate in architecture discussions and continuous improvement initiatives
  • Research and prototype emerging AI technologies to keep Go West at the forefront of innovation

Qualifications we require from you:
  • Must be local to Colorado apply
  • 3+ years of experience developing automation solutions in a professional IT environment
  • Experience working within a Managed Services Provider (MSP) environment
  • Advanced PowerShell scripting experience
  • Strong experience building integrations using REST APIs and Microsoft Graph
  • Experience using Azure DevOps for source control, project management, and CI/CD pipelines
  • Experience using Git, branching strategies, pull requests, and modern source control practices
  • Required experience using Claude and Claude Code
  • Experience designing, deploying, and supporting solutions within Microsoft Azure
  • Strong understanding of cloud security best practices
  • Experience with Azure OpenAI and prompt engineering
  • Experience integrating AI solutions with Microsoft 365 (Teams, SharePoint, Outlook)
  • Experience with DLP policies and data governance
  • Background in business process automation or systems integration
  • Knowledge of security, compliance, and responsible AI practices
  • Experience troubleshooting complex automation and integration issues
  • Authorization to work in the United States

Preferred skills from you:
  • 5+ years of MSP experience
  • Experience building AI agents and agentic workflows
  • Experience with Model Context Protocol (MCP)
  • Experience integrating LLMs into production workflows
  • Experience with vector databases and Retrieval Augmented Generation (RAG)
  • Experience with Azure AI Services, Azure OpenAI, or similar AI platforms
  • Experience with Python in addition to PowerShell
  • Experience with Microsoft Power Platform
  • Knowledge of containerization
  • Experience with infrastructure as code
  • Familiarity with Power BI and data visualization
  • Microsoft Certified: DevOps Engineer Expert
  • AI-related certifications or equivalent demonstrated experience
  • ITIL 4 Foundation Certification

Application deadline: 8/28/2026

Apply