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Senior Generative Ai Engineer Jobs in Colorado (NOW HIRING)

Experience with Large Language Models/Generative AI and Prompt Engineering. Also, using LLM/GAI solutions for usage in human-machine teaming for Software Development * Familiarity with Linux ...

The Staff AI Engineer will architect and operationalize production-grade multi-agent systems to ... Required : • 3+ years of experience building and shipping Generative AI and LLM applications into ...

Engineering. Title: Senior AI Data Analytics Engineer. Why This Role Matters BillGO's future runs ... You'll apply generative AI and large language models (e.g., Claude) to accelerate data ...

AI Engineer

Denver, CO · 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 · On-site

$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

Minneapolis, MN · On-site

$109K - $149K/yr

Position Summary The Senior AI Engineer will own the end-to-end technical lifecycle of enterprise AI models-from data pipeline architecture to deployment and monitoring. The role will partner with AI ...

Senior AI Engineer

Boulder, CO · On-site +1

$108K - $148K/yr

We are looking for a Senior AI Engineer to join our AI Platform team, which owns AI enablement internally across Campminder, and externally to our customers. As a senior engineer on the team, you ...

Senior AI Engineer

Boulder, CO · On-site +1

$108K - $148K/yr

We are looking for a Senior AI Engineer to join our AI Platform team, which owns AI enablement internally across Campminder, and externally to our customers. As a senior engineer on the team, you ...

Senior AI Engineer

Broomfield, CO · 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 · 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 ...

Senior Software Engineer

Denver, CO · 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 ...

AI Developer/Engineer

Denver, CO · 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 ...

Showing results 41-60

Senior Generative Ai Engineer information

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 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:

What cities in Colorado are hiring for Senior Generative Ai Engineer jobs?

Cities in Colorado with the most Senior Generative Ai Engineer job openings:

Infographic showing various Senior Generative Ai Engineer job openings in Colorado as of August 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution.

AI/ML Software Engineer

asrcfh

Colorado Springs, CO • On-site

Full-time

Re-posted 6 days ago


ASRC Federal rating

7.8

Company rating: 7.8 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

243rd of 453 rated engineering


Job description

ASRC Federal Mission Solutions is a premier provider of systems engineering, software engineering, system integration and project management services for real-time, mission-critical defense systems. We are seeking highly motivated Software Engineers to join our team as an AI Engineer at Schriever Space Force Base, in Colorado Springs, CO.

This exciting career opportunity is responsible for the development and delivery of high-fidelity threat missile modeling and missile defense software products in support of the Missile Defense Agency (MDA) and MDA’s Missile Defense System (MDS).

Basic Qualifications:

  • Bachelor of Science degree in a STEM (Science, Technology, Engineering, or Math) discipline with 2 years of relevant experience, or 0 years’ experience with a Maters’ Degree
  • Must have an active U.S. Government DoD Secret security clearance at time of application
  • Familiarity in a variety of AI/ML techniques, including deep learning, natural language processing, computer vision, and reinforcement learning
  • Experience with programming in Python, R, or other relevant languages
  • Experience with AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and Keras
  • Experience with Large Language Models/Generative AI and Prompt Engineering.  Also, using LLM/GAI solutions for usage in human-machine teaming for Software Development
  • Familiarity with Linux operating systems.

Preferred Qualifications:

  • Experience in Engineering and Aerospace
  • Familiarity with MLOps and deploying models at scale.
  • Familiarity with A/B testing and other methods for evaluating the performance of AI/ML models
  • Familiarity with cloud computing platforms such as AWS, Azure, or GCP
  • Familiarity with DevOps practices and tools
  • Experience working with sensitive data and adhering to data privacy regulations
  • Experience in Modeling and Simulation
  • Knowledge of the flight characteristics, motion, atmospheric dynamics, and performance of missiles
  • Knowledge of engineering modeling principles behind body motion, trajectory analysis, counter measures, debris, and signature modeling
  • Background with missile system models, atmospheric dynamics, and performance
  • Experience in Agile software development methodologies including Scrum and Kanban

What ASRC Federal employees say

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Benefits

Hours and flexibility

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