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Senior Generative Ai Engineer Jobs in Highlands Ranch, CO

Senior AI Engineer Position Summary As a Senior AI Engineer, you will build AI applications, agents ... generative AI, including AI agents, agentic workflows, tool/function calling, and process ...

Sr AI/ML Engineer

Lone Tree, CO ยท On-site

$106K - $146K/yr

The Senior AI/ML Engineer is a highly skilled and experienced professional responsible for leading ... Experience designing and optimizing generative AI models including transformers and GANs.

Sr AI/ML Engineer

Lone Tree, CO ยท On-site

$106K - $146K/yr

The Senior AI/ML Engineer is a highly skilled and experienced professional responsible for leading ... Experience designing and optimizing generative AI models including transformers and GANs.

AI Engineer

Denver, CO ยท On-site

$50K - $112K/yr

... generative AI techniques, including prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation models - Developing automated evaluation ...

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 ...

Senior AI Automation Engineer

Denver, CO

$107K - $140K/yr

Job Title: Senior AI Automation Engineer Company: Prologis A day in the life The Senior AI ... Experience applying generative AI, large language models, embeddings, vector databases, retrieval ...

Senior AI Engineer

Broomfield, CO ยท On-site

$123K - $162K/yr

Job#: 3044834 Senior AI Engineer Location: Broomfield, Colorado (Remote) Role Overview We are seeking a Senior AI Engineer to join a new Applied AI team focused on driving the adoption of AI tools ...

Senior AI Engineer

Centennial, CO ยท On-site

$107K - $147K/yr

Senior AI Engineer Company: Loenbro, LLC Business Unit/Department: Information Technology (IT) Location: Westminster or Centennial, CO (hybrid) Reports to: IT Innovation Director Employment Type ...

AI Developer/Engineer

Denver, CO ยท On-site +1

$111K - $145K/yr

Support the Senior AI Developer/Engineer and CIO-sponsored initiatives by delivering enhancements ... Hands-on experience with AI/ML or generative AI (LLMs, embeddings, RAG) through professional work ...

AI Developer/Engineer

Denver, CO ยท On-site

$111K - $145K/yr

Support the Senior AI Developer/Engineer and CIO-sponsored initiatives by delivering enhancements ... Hands-on experience with AI/ML or generative AI (LLMs, embeddings, RAG) through professional work ...

Senior Software Engineer

Denver, CO ยท On-site +1

$126K - $166K/yr

The Senior Software Engineer designs, builds, and maintains the technical systems and application ... Lead the evaluation, integration, and responsible deployment of generative AI capabilities within ...

Senior Software Engineer

Denver, CO ยท On-site +1

$126K - $166K/yr

The Senior Software Engineer designs, builds, and maintains the technical systems and application ... Lead the evaluation, integration, and responsible deployment of generative AI capabilities within ...

Showing results 21-40

Senior Generative Ai Engineer information

See Highlands Ranch, CO salary details

$62.5K

$132.8K

$192.6K

How much do senior generative ai engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for senior generative ai engineer in Highlands Ranch, CO is $132,836.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,700.00 and $150,600.00 per year, depending on experience, location, and employer.

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 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 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 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 are popular job titles related to Senior Generative Ai Engineer jobs in Highlands Ranch, CO?

For Senior Generative Ai Engineer jobs in Highlands Ranch, CO, the most frequently searched job titles are:

What cities near Highlands Ranch, CO are hiring for Senior Generative Ai Engineer jobs?

Cities near Highlands Ranch, CO with the most Senior Generative Ai Engineer job openings:

Infographic showing various Senior Generative Ai Engineer job openings in Highlands Ranch, CO as of August 2026, with employment types broken down into 81% Full Time, and 19% Contract. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $132,836 per year, or $63.9 per hour.

AI Content Engineer

Vantor

Westminster, CO โ€ข On-site

Full-time

Retirement

Posted 17 days ago


Key responsibilities

  • Design, build, test, and deploy AI applications, agents, and automated workflows related to technical documentation.

  • Develop AI-enabled content pipelines and integrations to transform technical sources into customer-facing content and automate documentation workflows.

  • Partner with stakeholders to identify automation opportunities and implement technical solutions to improve documentation processes and accessibility.


Job description

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.
To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee.
Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).
Please review the job details below.
Senior AI Engineer
Position Summary
As a Senior AI Engineer, you will build AI applications, agents, and automation that turn complex technical information into accurate, useful customer documentation. You will help us find practical ways to use AI to improve how documentation is created, maintained, published, and delivered. Working primarily with the Documentation team, you will use large language models (LLMs), agentic AI, and automation to improve content and publishing workflows, reduce manual effort, and make technical knowledge more accessible to customers and AI-powered applications.
You will also have opportunities to apply these capabilities to other customer-facing workflows where AI and automation can improve efficiency and the customer experience.
This role requires strong software engineering fundamentals and demonstrated experience building AI applications, agents, integrations, and automated workflows.
Responsibilities
โ€ข Design, build, test, and deploy AI applications, agents, and automated workflows that
improve how technical documentation is created, maintained, published, and delivered.
โ€ข Develop AI-enabled content pipelines that transform developer documentation, API
specifications, product information, and other technical sources into accurate,
maintainable customer-facing content.
โ€ข Build integrations across documentation repositories, content and publishing platforms,
source control systems, APIs, and other tools to automate documentation workflows
and reduce manual effort.
โ€ข Design and implement agentic workflows and Model Context Protocol (MCP) servers
that connect AI applications with documentation systems, technical content, APIs, tools,
and enterprise workflows.
โ€ข Develop reusable AI capabilities and platform components, taking solutions from
prototype through reliable production deployment with appropriate testing, evaluation,
observability, safeguards, and human oversight.
โ€ข Partner with technical writers, software engineers, product teams, support teams, and
other stakeholders to identify automation opportunities and translate business needs
into practical technical solutions.
โ€ข Evaluate and apply emerging AI models, agent frameworks, protocols, and development
tools that can improve documentation workflows or make technical knowledge more
accessible and useful.
Required Qualifications
โ€ข Bachelor's degree in Computer Science, Software Engineering, a related technical
discipline, or equivalent practical experience.
โ€ข Demonstrated software engineering experience building, integrating, and supporting
production applications, services, or automation.
โ€ข Hands-on experience developing applications using LLMs and generative AI, including AI
agents, agentic workflows, tool/function calling, and process automation.
โ€ข Strong programming skills in Python and/or another modern programming language,
with experience integrating systems through APIs, SDKs, web services, and structured
data.
โ€ข Experience with modern software engineering practices, including source control,
automated testing, CI/CD, application observability, and production troubleshooting.
โ€ข Strong analytical and problem-solving skills with the ability to translate ambiguous
business needs into practical technical solutions and communicate effectively with
technical and non-technical stakeholders.
Preferred Qualifications
โ€ข Experience building AI or automation solutions for technical documentation, developer
content, content operations, knowledge management, or customer support.
โ€ข Experience with Model Context Protocol (MCP), including developing MCP servers or
integrating MCP-enabled tools and resources with AI applications.
โ€ข Experience with API documentation platforms, automated API specification generation,
and standards such as OpenAPI.
โ€ข Experience with documentation-as-code, structured content, content management
systems, or automated documentation and publishing pipelines.
โ€ข Experience designing evaluation, governance, or human-in-the-loop approaches for LLM
applications and agentic workflows.
โ€ข Understanding of technical writing, information architecture, developer documentation,
and content lifecycle practices.
Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate's experience, expertise, and alignment with the role.
โ€ข The base pay for this position within Colorado is: $98,000.00 - $130,000.00 - $143,000.00 annually.
For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.
Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers
Additionally, this position is incentive eligible with a target based on contribution, company performance, and/or individual results achieved; the specific incentive plan and target amount will be determined based on the role and breadth of contributions.
The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.
The date of posting can be found on Vantor's Career page at the top of each job posting.
To apply, submit your application via Vantor's Career page.
EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.