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Ai Content Engineer Jobs in Colorado (NOW HIRING)

Preferred Qualifications • Experience building AI or automation solutions for technical documentation, developer content, content operations, knowledge management, or customer support. • ...

Our business reach spans satellite television service, live-streaming and on-demand programming ... AI Application proficiency using tools such as Adobe Firefly or generative AI platforms for ...

Content Strategist II

Englewood, CO · On-site

$63K - $90K/yr

Our business reach spans satellite television service, live-streaming and on-demand programming ... AI Application proficiency using tools such as Adobe Firefly or generative AI platforms for ...

Our business reach spans satellite television service, live-streaming and on-demand programming ... AI Application proficiency using tools such as Adobe Firefly or generative AI platforms for ...

Content Acquisition Lead

Englewood, CO · On-site

$72K - $103K/yr

Our business reach spans satellite television service, live-streaming and on-demand programming ... Apply AI tools and analytical applications to streamline content licensing workflows, forecast ...

Content Acquisition Lead

Englewood, CO · On-site

$72K - $103K/yr

Our business reach spans satellite television service, live-streaming and on-demand programming ... Apply AI tools and analytical applications to streamline content licensing workflows, forecast ...

Content Acquisition Lead

Englewood, CO · On-site

$72K - $103K/yr

Our business reach spans satellite television service, live-streaming and on-demand programming ... Apply AI tools and analytical applications to streamline content licensing workflows, forecast ...

... with no engineering or maintenance required. We're proud that more organizations continue to ... Evaluate emerging trends in search, AI, content consumption, and digital discovery, translating ...

... with no engineering or maintenance required. We're proud that more organizations continue to ... Evaluate emerging trends in search, AI, content consumption, and digital discovery, translating ...

... with no engineering or maintenance required. We're proud that more organizations continue to ... Evaluate emerging trends in search, AI, content consumption, and digital discovery, translating ...

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Ai Content Engineer information

What is an AI content engineer?

An AI Content Engineer is a professional who designs, develops, and manages content systems powered by artificial intelligence. They work at the intersection of content strategy, data science, and machine learning, creating tools and workflows that automate or enhance content creation, curation, and personalization. Their responsibilities often include training language models, integrating AI capabilities into content management systems, and ensuring the quality and relevance of AI-generated content. This role is crucial for organizations aiming to scale content production while maintaining quality and consistency.

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

To thrive as an AI Content Engineer, you need a strong background in computer science, natural language processing (NLP), and experience with programming languages like Python, as well as a relevant degree or equivalent experience. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), NLP libraries (like spaCy or NLTK), and cloud platforms is typically required. Creativity, problem-solving, and effective communication are essential soft skills for designing user-focused AI content solutions and collaborating with cross-functional teams. These skills ensure the development of robust, innovative AI-driven content systems that meet business and user needs.

What are some typical challenges an AI content engineer faces when deploying AI-generated content at scale?

AI Content Engineers often encounter challenges related to maintaining content quality and consistency when deploying AI-generated material across multiple platforms. Balancing automation with human oversight is crucial to avoid errors, biases, or brand voice inconsistencies. Additionally, integrating AI tools with existing content management systems and ensuring compliance with data privacy regulations can be complex. Close collaboration with data scientists, content strategists, and legal teams is often required to address these issues effectively.

What is the difference between Ai Content Engineer vs Data Scientist?

AspectAi Content EngineerData Scientist
Required CredentialsBachelor's in Computer Science, AI, or related fields; experience with NLP and ML toolsBachelor's or higher in Data Science, Statistics, or related fields; proficiency in programming and statistical analysis
Work EnvironmentDeveloping AI models for content generation, working with NLP and ML frameworksAnalyzing data sets, building predictive models, interpreting complex data
Employer & Industry UsageTech companies, content platforms, AI startupsFinance, healthcare, tech firms, research institutions

While both roles involve AI and data analysis, Ai Content Engineers focus on creating AI systems for content generation, whereas Data Scientists analyze data to derive insights and build predictive models. The roles often overlap in skills but differ in primary objectives and applications.

Is AI Content Engineer still in demand?

AI Content Engineers are in high demand as organizations seek professionals skilled in developing and managing AI-driven content systems. The role requires knowledge of machine learning, natural language processing, and content management tools, with job growth expected to continue as AI integration expands across industries.

What are popular job titles related to Ai Content Engineer jobs in Colorado?

For Ai Content Engineer jobs in Colorado, the most frequently searched job titles are:

Infographic showing various Ai Content Engineer job openings in Colorado as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

AI Content Engineer

Vantor

Westminster, CO • On-site

Full-time

Retirement

Posted 16 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
• Design, build, test, and deploy AI applications, agents, and automated workflows that
improve how technical documentation is created, maintained, published, and delivered.
• Develop AI-enabled content pipelines that transform developer documentation, API
specifications, product information, and other technical sources into accurate,
maintainable customer-facing content.
• Build integrations across documentation repositories, content and publishing platforms,
source control systems, APIs, and other tools to automate documentation workflows
and reduce manual effort.
• 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.
• Develop reusable AI capabilities and platform components, taking solutions from
prototype through reliable production deployment with appropriate testing, evaluation,
observability, safeguards, and human oversight.
• 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.
• 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
• Bachelor's degree in Computer Science, Software Engineering, a related technical
discipline, or equivalent practical experience.
• Demonstrated software engineering experience building, integrating, and supporting
production applications, services, or automation.
• Hands-on experience developing applications using LLMs and generative AI, including AI
agents, agentic workflows, tool/function calling, and process automation.
• Strong programming skills in Python and/or another modern programming language,
with experience integrating systems through APIs, SDKs, web services, and structured
data.
• Experience with modern software engineering practices, including source control,
automated testing, CI/CD, application observability, and production troubleshooting.
• 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
• Experience building AI or automation solutions for technical documentation, developer
content, content operations, knowledge management, or customer support.
• Experience with Model Context Protocol (MCP), including developing MCP servers or
integrating MCP-enabled tools and resources with AI applications.
• Experience with API documentation platforms, automated API specification generation,
and standards such as OpenAPI.
• Experience with documentation-as-code, structured content, content management
systems, or automated documentation and publishing pipelines.
• Experience designing evaluation, governance, or human-in-the-loop approaches for LLM
applications and agentic workflows.
• 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.
• 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.