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Senior Generative Ai Engineer Jobs in Colorado (NOW HIRING)

Senior AI Engineer

Denver, CO · On-site

$57 - $73.50/hr

This role empowers teams to leverage emerging AI capabilities such as agentic patterns, generative ... The Sr. AI Engineer is responsible for leading technical aspects of IT solution delivery, strategic ...

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 ...

AI Engineer

Denver, CO · On-site

$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 ...

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 ...

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 ...

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 ...

Senior AI Software Engineer

Denver, CO

$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 ...

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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:
Infographic showing various Senior Generative Ai Engineer 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.

Senior AI Engineer

Xcel Energy

Denver, CO • On-site

$57 - $73.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Xcel Energy rating

8.3

Company rating: 8.3 out of 10

Based on 89 frontline employees who took The Breakroom Quiz

20th of 53 rated energy and utility


Job description

Are you looking for an exciting job where you can put your skills and talents to work at a company you can feel proud to be a part of? Do you want a workplace that will challenge you and offer you opportunities to learn and grow? A position at Xcel Energy could be just what you're looking for.

Position Summary

The Sr. AI Engineer plays a pivotal role in advancing Xcel's AI vision by leading the technical delivery of innovative IT and AI-powered solutions that drive strategic value and operational excellence. This role empowers teams to leverage emerging AI capabilities such as agentic patterns, generative AI developer tooling, and secure orchestration to deliver innovative solutions that transform business operations.

In addition to technical leadership, the Sr. AI Engineer will mentor and guide teams in adopting AI tooling, establish best practices, foster a culture of continuous improvement and collaboration and ensure that AI solutions are secure, scalable, and aligned with enterprise goals. The position partners with Architecture, Security, and Operations teams to integrate enterprise architecture, compliance, and operational requirements into every solution.

The Sr. AI Engineer is responsible for leading technical aspects of IT solution delivery, strategic planning, and operational excellence. They are responsible for managing the overall health of the technology ecosystem and will manage and oversee design of solutions to meet business needs and support the overall IT Strategy. They provide technical guidance in partnership with Architecture and cross-organizational input and in accordance with business unit objectives. They are a consultant to business managers, architecture, security and operations teams to drive cross-awareness of business needs and opportunities. They bring innovative solutions to the business line by leveraging their technical expertise. They identify and implement continuous improvement over cost, security, operation, and functionality of the solutions in their domain.


Essential Responsibilities

  • Solution Delivery: Lead and support solution lifecycle technical activities. Ensure solutions are designed for great user experience and operational performance. Lead design, ensuring Enterprise Architecture, Security, Operations and Compliance aspects are continuously integrated into solutions. Provide input to cost and schedule estimation. Responsible for overall integrity of system design and operation. Oversee vendor activities.
  • Relationship Management: Conduct peer reviews and approve system changes and technical solution design. Coach and mentor less experience team members. Partner cross-organizationally to drive minimal costs on optimal solutions. Provide in-depth technical information to stakeholders as needed.
  • Strategy & Planning: Innovate through usage of industry emerging capabilities and evolving customer needs. Provide input to strategic roadmap and technical dependencies.
  • Subject Matter Expertise: Continuously stay current on, and apply, technical industry knowledge pertaining to the respective domain
  • Operations: Review solution performance, and continually assess health of systems. Track and drive awareness to operational and technical debt risks. Provide escalated support to incident and problem management. Utilize analytics to improve availability, reliability, efficiency and capacity. Oversee vendor activities.
  • Solid grasp of core AI engineering concepts, including agentic patterns, agent-to-agent (A2A) communication, tool use, and orchestration.
  • Hands-on experience with generative AI developer tooling such as Claude Code, OpenAI Codex, GitHub Copilot, or comparable coding agents, including day-to-day use in a professional development workflow.
  • Proficiency building with AI-relevant languages and ecosystems, particularly TypeScript, Python, and .NET.
  • Working knowledge of the Model Context Protocol (MCP) and experience with related frameworks and SDKs (e.g., FastMCP, Microsoft Agent Framework, or equivalents).
  • Demonstrated experience building agents, skills, hooks, plugins, and tool integrations that extend AI platforms.


Minimum Requirements

  • Bachelor's degree in Technology, Science, Business or related field, or 4 years of experience equivalent to the position.
  • Ten years of related functional experience.
  • Excellent communication skills, effective with varying organizational levels and skill set, and able to translate between technical and non-technical concepts.
  • Excellent Relationship Management and collaboration skills, with a track record of working as one team cross-organizationally to drive inovation and business results.
  • Expertise managing the lifecycle of technical solutions.
  • Deep Subject Matter Expertise within the respective system domain products, platforms, processes and architecture.
  • Broad and deep knowledge of technology architecture, infrastructure, network, security and software principles and models.
  • Experience working in partnership with internal and external vendors.
  • Excellent analytical, problem-solving and troubleshooting skills.
  • Extensive knowledge of future technology trends within area of expertise.
  • Demonstrated leadership on technical aspects of large scale projects.
  • Experience coaching other developers in system deployment or operational troubleshooting.
  • Experience with delivery methodologies (Waterfall, Agile, Scrum) and operational models (ITIL).
  • Experience and understanding of core IT Service Management functions, such as Change Management and Incident Management.

Preferred Requirements

  • Familiarity with AI security and governance controls - approval flows, guardrails against unapproved actions, plugin/tool allowlisting, sandboxing, and permission models.
  • AI Identity and data access patterns - OAuth, scoped tokens, and least-privilege access for agents acting on behalf of users (Microsoft Graph, enterprise APIs, etc.).
  • Mentorship and technical leadership - guiding teams adopting AI tooling, establishing patterns, and reviewing AI-generated code at scale.

As a leading combination electricity and natural gas energy company, Xcel Energy offers a comprehensive portfolio of energy-related products and services to 3.4 million electricity and 1.9 million natural gas customers across eight Western and Midwestern states. At Xcel Energy, we strive to be the preferred and trusted provider of the energy our customers need. If you're ready to be a part of something big, we invite you to join our team.

All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Individuals with a disability who need an accommodation to apply please contact us at recruiting@xcelenergy.com.

Non-BargainingThe anticipated starting base pay for this position is: $130,000.00 to $170,000.00 per yearThis position is eligible for the following benefits: Annual Incentive Program, Medical/Pharmacy Plan, Dental, Vision, Life Insurance, Dependent Care Reimbursement Account, Health Care Reimbursement Account, Health Savings Account (HSA) (if enrolled in eligible health plan), Limited-Purpose FSA (if enrolled in eligible health plan and HSA), Transportation Reimbursement Account, Short-term disability (STD), Long-term disability (LTD), Employee Assistance Program (EAP), Fitness Center Reimbursement (if enrolled in eligible health plan), Tuition reimbursement, Transit programs, Employee recognition program, Pension, 401(k) plan, Paid time off (PTO), Holidays, Volunteer Paid Time Off (VPTO), Parental Leave

Benefit plans are subject to change and Xcel Energy has the right to end, suspend, or amend any of its plans, at any time, in whole or in part.

In any materials you submit, you may redact or remove age-identifying information including but not limited to dates of school attendance and graduation. You will not be penalized for redacting or removing this information.

Deadline to Apply: 08/02/26

EEO is the Law |EEO is the Law Supplement | Pay Transparency Nondiscrimination | Equal Opportunity Policy (PDF) | Employee Rights (PDF)

All Xcel Energy employees and contractors share responsibility for protecting the company's information and systems by adhering to cybersecurity policies, standards, and best practices, recognizing that cybersecurity is everyone's responsibility.

ACCESSIBILITY STATEMENT

Xcel Energy endeavors to make https://www.xcelenergy.com/ accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact Xcel Energy Talent Acquisition at recruiting@xcelenergy.com. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications.


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About Xcel Energy

Sourced by ZipRecruiter

Xcel Energy is a prominent electricity and natural gas service provider serving multiple states in the United States, including Colorado, Michigan, Minnesota, New Mexico, North Dakota, South Dakota, Texas, and Wisconsin. Our commitment revolves around delivering essential services to our valued customers. As a trailblazer in the industry, we were the first major US electricity provider with a visionary goal to achieve 100% carbon-free electricity by 2050 and an ambitious 80% reduction in carbon emissions by 2030, based on 2005 levels. Through innovative electric vehicle initiatives, we actively contribute to carbon reduction not only in our electricity generation but also in the transportation sector within the states we operate. Simultaneously, we remain devoted to ensuring cost-effectiveness for our customers by implementing advanced electricity rates and energy efficiency programs.

Industry

Utilities

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1909