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Senior Generative Ai Engineer Jobs in Colorado (NOW HIRING)

Stantec

Generative AI Developer

Denver, CO · On-site

Stantec is a company dedicated to creating a caring culture where everyone can thrive, seeking a Generative AI Developer to enhance their Digital Center of Excellence. This role involves designing ...

GEI Consultants

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 ...

GEI Consultants

AI Engineer

Denver, CO · On-site

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 ...

Themesoft, Inc.

REMOTE_Senior Gen AI Engineer

Denver, CO · On-site

$126K - $166K/yr

Senior AI Automation Engineer (Gen AI Developer) Location: Denver, CO Duration: 6-12+ months Role ... Generative AI and enterprise agent-based solutions| focusing on the design| development| and ...

New

Stantec

Generative AI Developer

Denver, CO · On-site

$104K - $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 ...

eTeam

Generative AI Developer

Denver, CO · On-site

Job Summary : eTeam is a company looking for a Generative AI Developer. The role involves strong Python development and experience with various AI and machine learning frameworks, focusing on ...

Litera

Senior AI Software Engineer

Denver, CO · On-site

$126K - $166K/yr

The Opportunity The Generative AI Innovation Team is transforming how Litera-and its clients-leverage data for competitive advantage. As a Senior AI Engineer, you will play a critical role in shaping ...

Litera

Senior AI Software Engineer

Denver, CO · On-site

$126K - $166K/yr

The Opportunity The Generative AI Innovation Team is transforming how Litera-and its clients-leverage data for competitive advantage. As a Senior AI Engineer, you will play a critical role in shaping ...

Strive Health

Principal AI Engineer

Denver, CO · On-site

What You'll Do The Principal AI Engineer is a senior individual contributor who helps Strive turn ... generative AI, retrieval-augmented systems, agentic workflows, or AI-enabled automations.

KPMG

Manager, AI Engineer

Denver, CO

Define solution architectures that integrate LLMs, generative AI, and traditional ML with ... Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus * Track record ...

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Senior Generative Ai Engineer information

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

AspectSenior Generative Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with generative modelsBachelor's/Master's in CS, Data Science, or related; strong ML fundamentals
Work EnvironmentResearch and development focused, often in AI startups or tech companiesData analysis, model development, often across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech, finance, healthcare, and other sectors utilizing ML solutions

The main difference is that Senior Generative Ai Engineers specialize in developing and optimizing generative models like GPT or GANs, focusing on AI creativity and content generation. Machine Learning Engineers have a broader scope, working on various ML algorithms and applications across multiple industries. Both roles require strong technical skills, but the Senior Generative Ai Engineer's expertise is more specialized in generative AI technologies.

What does a senior generative AI engineer do?

A Senior Generative AI Engineer designs, develops, and implements advanced artificial intelligence models, particularly those focused on generating content such as text, images, or audio. They work with large datasets, build and fine-tune generative models like GPT or diffusion models, and oversee the deployment of these systems into production environments. Additionally, they collaborate with cross-functional teams to integrate AI capabilities into products, optimize model performance, and ensure ethical AI practices are followed.

What are some of the unique challenges senior generative AI engineers face when deploying models in production environments?

Senior Generative AI Engineers often encounter challenges such as ensuring model reliability, addressing biases in generated outputs, and managing the significant computational resources required for deployment. There's also a strong need to collaborate with cross-functional teams, including data engineers, product managers, and domain experts, to ensure the solutions align with business goals and maintain user trust. Balancing innovation with ethical considerations and scalability is crucial in this fast-evolving field.

What are the key skills and qualifications needed to thrive as a senior generative AI engineer, and why are they important?

To thrive as a Senior Generative AI Engineer, you need deep expertise in machine learning, deep learning, and natural language processing, typically backed by an advanced degree in computer science or related fields. Proficiency in frameworks like TensorFlow or PyTorch, experience with cloud platforms (e.g., AWS, Azure), and familiarity with large language models are essential, along with relevant certifications. Strong problem-solving skills, creativity, and effective communication set standout engineers apart in this role. These skills and qualities are crucial for designing innovative AI solutions, collaborating across teams, and advancing the capabilities of generative models in real-world applications.
What are the most commonly searched types of Generative Ai Engineer jobs in Colorado? The most popular types of Generative Ai Engineer jobs in Colorado are:
What are popular job titles related to Senior Generative Ai Engineer jobs in Colorado? For Senior Generative Ai Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Senior Generative Ai Engineer jobs in Colorado look for? The top searched job categories for Senior Generative Ai Engineer jobs in Colorado are:
Senior Generative Ai Engineer jobs near you
Infographic showing various Senior Generative Ai Engineer job openings in Colorado as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 91% In-person, and 9% Remote job distribution.

Generative AI Developer

Stantec

Denver, CO • On-site

Full-time

Re-posted 7 days ago

Stantec rating

8.5

Company rating: 8.5 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

114th of 446 rated engineering

Job description

Job Summary:
Stantec is a company dedicated to creating a caring culture where everyone can thrive, seeking a Generative AI Developer to enhance their Digital Center of Excellence. This role involves designing and deploying generative AI solutions, collaborating with various teams to ensure the solutions are scalable, secure, and compliant with governance principles.
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:
Required:
• 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.
• 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.
Preferred:
• Experience developing AI agents in Microsoft Copilot Studio is highly preferred.
Company:
Stantec is a professional services company that provides engineering, architecture, design, and consulting services. Founded in 1954, the company is headquartered in Edmonton, CAN, with a team of 10001+ employees. The company is currently Late Stage.

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