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Ai Content Engineer Jobs in Colorado (NOW HIRING)

... engineering, helping teams transform data into reliable, governed insights. Together, we support ... Build net new and repurposed content workflows, leveraging AI tools to accelerate scale and time to ...

Process & Workflow Engineering: Continuously document editing standards, content briefs, and QA ... AI-Accelerated Content Operations: Embed modern AI workflows into content production, QA, and ...

Process & Workflow Engineering: Continuously document editing standards, content briefs, and QA ... AI-Accelerated Content Operations: Embed modern AI workflows into content production, QA, and ...

Process & Workflow Engineering: Continuously document editing standards, content briefs, and QA ... AI-Accelerated Content Operations: Embed modern AI workflows into content production, QA, and ...

Process & Workflow Engineering: Continuously document editing standards, content briefs, and QA ... AI-Accelerated Content Operations: Embed modern AI workflows into content production, QA, and ...

Process & Workflow Engineering: Continuously document editing standards, content briefs, and QA ... AI-Accelerated Content Operations: Embed modern AI workflows into content production, QA, and ...

Process & Workflow Engineering: Continuously document editing standards, content briefs, and QA ... AI-Accelerated Content Operations: Embed modern AI workflows into content production, QA, and ...

Process & Workflow Engineering: Continuously document editing standards, content briefs, and QA ... AI-Accelerated Content Operations: Embed modern AI workflows into content production, QA, and ...

... content. Key Responsibilities: Cloud Infrastructure & DevOps: • Provision, configure, and manage ... AI Agent Deployment & Operations: • Own customer-facing AI agent deployment methodologies ...

AI Engineer

Denver, CO · On-site

$105K - $115K/yr

We are hiring an AI Engineer to own the secure infrastructure and delivery backbone beneath that ... module content (enabled, not owned, by this role). KEY RESPONSIBILITIES * Own and extend the IaC ...

Lead AI Engineer - AWS Platform

Denver, CO · On-site +1

$130K - $190K/yr

We are hiring a Lead AI Engineer to build and scale production-grade AI solutions on AWS. This role ... Build ingestion for multimodal content and transformation pipelines for structured and unstructured ...

Showing results 21-40

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.

Organic Growth Lead, SEO & GEO

Fivetran

Denver, CO • On-site

Full-time

Re-posted 6 days ago


Job description

About Us

Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we're delivering the data infrastructure layer that helps organizations move, transform, and trust their data - from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It's an exciting time to join us: we're creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.

About the Role

We're looking for a strategic, results-oriented organic growth lead to drive our acquisition strategy across traditional search engines and emerging AI/LLM platforms. You'll directly shape the vision, strategy, and operating model responsible for driving measurable growth in organic visibility, discoverability, and pipeline through content creation across owned and earned channels. You'll partner closely with creative, product marketing, web, PR, and brand teams to identify content gaps and build plans, establish investment priorities, and ensure we're positioned to win across an increasingly complex discovery ecosystem. 

Success in this role requires balancing long-term strategic thinking with a willingness to dive deep into execution. You'll establish our long-term strategy and priorities while remaining closely connected to the work - creating and reviewing content, measuring and evaluating performance, and continuously refining how we show up across owned and earned channels.

What You'll Do

  • Own our content-led GEO/SEO strategy, defining the prompts, topics, formats, and ecosystems that drive measurable growth in traffic, visibility, and pipeline
  • Identify and prioritize high-impact content opportunities across product areas, influencing cross-functional teams to bring that content to life
  • Map and optimize our presence across the full ecosystem of LLM-ingested content, including YouTube, Reddit, and review sites, to improve AI-driven discoverability
  • Design and execute a comprehensive off-page strategy, including link acquisition, digital PR, and authority-building initiatives
  • Own technical execution - site architecture, crawlability, structured data, and page performance - partnering with web development teams to ensure content is effectively surfaced, indexed, and performant
  • Build net new and repurposed content workflows, leveraging AI tools to accelerate scale and time to production 
  • Lead the relationship with our agency, setting the brief, holding the work to a high bar, and course-correcting as the search landscape shifts.
  • Evaluate emerging trends in search, AI, content consumption, and digital discovery, translating market shifts into strategic opportunities
  • Track and report on organic performance (both SEO and GEO), translating traffic, visibility, and pipeline data into a clear narrative for leadership

Skills We Are Looking For 

  • A proven track record of growing qualified organic traffic and visibility through content strategy and creation
  • A demonstrated point of view on modern organic growth, with a proven ability to anticipate and capitalize on shifts in search, AI/LLM, and digital discovery
  • Experience creating technical content across multiple platforms and channels (YouTube, social, review sites, etc)
  • Strong technical GEO/SEO fundamentals: site architecture, crawlability and indexation (including access for AI crawlers), structured data and schema markup, Core Web Vitals, and content formatting
  • Analytical mindset and comfortable pulling reports, diagnosing performance shifts, and quantifying opportunities
  • Hands-on experience using GEO/SEO tools such as Conductor and Profound to drive strategy.
  • Hands-on experience managing an agency relationship

Technologies You Will Use

  • Profound and/or Conductor 
  • Semrush
  • Google Search Console 
  • Google Analytics (GA4)
  • Screaming Frog
  • Amplitude
  • Looker 

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