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Generative Ai Developer Jobs in Colorado (NOW HIRING)

Generative AI Developer

Denver, CO · On-site

$104.80K - $152K/yr

Your Opportunity We are seeking a GenAI Developer to drive the design, maturation, and enterprise deployment of generative AI and agentic AI systems within Stantec's Digital Center of Excellence ...

AI Developer/Engineer

Denver, CO · On-site +1

$111.24K - $145.23K/yr

Description Connect for Health has a great opportunity for an AI Developer/Engineer. Connect for ... Hands-on experience with AI/ML or generative AI (LLMs, embeddings, RAG) through professional work ...

Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks. * Proficiency in at least one programming language such as Python ...

AI Engineer

Denver, CO

$110K - $150K/yr

Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks. * Proficiency in at least one programming language such as Python ...

We are looking for highly skilled AI Engineers with expertise in Large Language Models (LLMs) and ... other generative AI tools. The ideal candidate will be able to design, develop, and deploy AI ...

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Generative Ai Developer information

See Colorado salary details

$19

$47

$106

How much do generative ai developer jobs pay per hour?

As of May 29, 2026, the average hourly pay for generative ai developer in Colorado is $47.62, according to ZipRecruiter salary data. Most workers in this role earn between $24.76 and $57.64 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Generative AI Developer, and why are they important?

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What are some common challenges faced by Generative AI Developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What is a Generative AI Developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

What are popular job titles related to Generative Ai Developer jobs in Colorado? For Generative Ai Developer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Generative Ai Developer jobs in Colorado look for? The top searched job categories for Generative Ai Developer jobs in Colorado are:
What cities in Colorado are hiring for Generative Ai Developer jobs? Cities in Colorado with the most Generative Ai Developer job openings:
Infographic showing various Generative Ai Developer job openings in Colorado as of May 2026, with employment types broken down into 42% Full Time, 51% Part Time, and 7% Contract. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $99,052 per year, or $47.6 per hour.
Generative AI Developer

Generative AI Developer

Stantec

Denver, CO • On-site

$104.80K - $152K/yr

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


Stantec rating

8.5

Company rating: 8.5 out of 10

Based on 80 frontline employees who took The Breakroom Quiz

73rd of 349 rated engineering


Job description

At Stantec, we have some of the world's leading professionals passionate about enabling our business to be its best. Our business teams include finance, procurement, human resources, information technology, marketing, corporate development, HSSE, real estate, legal, and practice services. We bring diverse backgrounds, skills, and expertise and create a caring culture where everyone can thrive. Through teamwork and collaboration, we're building a stronger, more resilient Stantec every day.
Your Opportunity
We are seeking a GenAI Developer to drive the design, maturation, and enterprise deployment of generative AI and agentic AI systems within Stantec's Digital Center of Excellence (DCoE). This role will support a growing portfolio of AI initiatives across the organization, focusing on building scalable, secure, and well-governed solutions, including LLM-powered agents, multi-agent systems, retrieval-augmented generation (RAG), and intelligent automation platforms.
You will work closely with data scientists, engineers, enterprise architects, and business stakeholders to define architectural patterns, establish technical standards, and guide the implementation of advanced GenAI capabilities. This position plays a critical role in shaping enterprise AI architecture, ensuring solutions are reliable, compliant, and aligned with Stantec's governance, security, and responsible AI principles.
Your Key Responsibilities
  • Design, build, and deploy end-to-end GenAI solutions and agentic solutions, including model lifecycle management, evaluation, deployment, and monitoring.
  • Partner with ML/AI leads and engineering teams to integrate LLMs, autonomous agents, and GenAI services into existing and new solution pipelines.
  • Review and advise on infrastructure approaches, including containerization, orchestration, and infrastructure-as-code to ensure scalability, security, and operational readiness.
  • Collaborate with product owners, engineering, security, and data teams to design solutions that meet functional and non-functional requirements (performance, reliability, compliance, and cost).
  • Establish and enforce governance for model usage, prompt and tool management, safety controls, data handling, and lifecycle management.
  • Design integrations with enterprise data platforms, knowledge sources, and APIs, ensuring appropriate access controls and auditability.
  • Document architectural patterns, methodologies, and lessons learned.
  • Evaluate emerging GenAI technologies and recommend adoption strategies based on business value and risk.
  • Stay current with emerging research, tools, and frameworks in Generative AI, Agentic AI, and multi-agent systems.
  • Design, build, and deploy agentic solutions using Microsoft Copilot Studio, including configuration of topics, actions, integrations, and orchestration logic.

Qualifications
  • Strong background in designing and delivering modern cloud solutions, APIs, and data/AI platforms.
  • Demonstrated knowledge and hands-on experience in building custom AI agents, including development using platforms such as Azure AI Foundry and Microsoft Copilot Studio.
  • Familiarity with security, privacy, and governance practices for enterprise AI solutions.
  • Ability to communicate complex concepts clearly to technical and non-technical audiences, influencing stakeholders through architecture guidance.
  • Experience partnering across disciplines in agile delivery environments.
  • Understanding application deployment, hosting, and scaling within Azure.

Education and Experience
  • Master's degree or higher degree in Computer Science, Engineering, or related field (or equivalent experience).
  • 5+ years of professional experience in AI/ML solution delivery, with recent hands-on GenAI solution experience.
  • Experience deploying AI/GenAI solutions in Azure environments, including familiarity with Azure AI Foundry, would be highly valued.
  • Experience developing AI agents in Microsoft Copilot Studio is highly preferred.

Pay Range:
• Locations in CO, HI, IL, MD & Various CA, NJ Areas-$104,800.00 - $152,000.00 Annually
Pay Transparency: In compliance with pay transparency laws, pay ranges are provided for positions in locations where required. Please note, the final agreed upon compensation is based on individual education, qualifications, experience, and work location. At Stantec certain roles are bonus eligible. Actual compensation for part-time roles will be pro-rated based on the agreed number of working hours per week.
Benefits Summary: Regular full-time and part-time employees (working at least 20 hours per week) have access to medical, dental, and vision plans, a wellness program, health saving accounts, flexible spending accounts, 401(k) plan, employee stock purchase program, life and accidental death & dismemberment (AD&D) insurance, short-term/long-term disability plans, emergency travel benefits, tuition reimbursement, professional membership fee coverage and paid family leave. Regular full-time and part-time employees will receive ten paid holidays in each calendar year. In addition, employees will be eligible to accrue vacation between 10 and 20 days per year and eligible for paid sick leave (and if more generous, in accordance with state and local law).
Temporary/casual employees have access to 401(k) plans, employee stock purchase program, and paid leave, in accordance with state and local law.
The benefits information listed above may not apply to union positions because benefits for such positions are governed by applicable collective bargaining agreements
Primary Location: United States | TX | Austin
Organization: BC-2259 Innovation-US Digital COE
Employee Status: Regular
Business Justification: Replacement
Travel: No
Schedule: Full time
Job Posting: 15/04/2026 06:04:33
Req ID: 1004649
#additional
Stantec provides equal employment opportunities to all qualified employees and applicants for future and current employment and prohibit discrimination on the grounds of race, colour, religion, sex, national origin, age, marital status, genetic information, disability, sexual orientation, gender identity or gender expression. We prohibit discrimination in decisions concerning recruitment, hiring, referral, promotion, compensation, fringe benefits, job training, terminations or any other condition of employment. Stantec is in compliance with laws and regulations and ensures equitable opportunities in all aspects of employment. At Stantec we are committed to ensuring our recruitment process is accessible to all. If you require reasonable adjustments to be made during the recruitment process then please inform a member of our Talent Acquisition team.

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