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Generative Ai Associate Jobs in Colorado (NOW HIRING)

Crusoe

Senior Cloud Support Engineer

Denver, CO · On-site

CKA, CKAD, CKS, KCNA, AWS Machine Learning - Specialty, Data Analytics - Specialty, Solutions Architect - Professional, Developer - Associate, NVIDIA AI Infrastructure and Operations, Generative AI ...

Crusoe

Cloud Support Engineer

Denver, CO · On-site

$57.50 - $76.75/hr

CKA, CKAD, CKS, KCNA, AWS Machine Learning - Specialty, Data Analytics - Specialty, Solutions Architect - Professional, Developer - Associate, NVIDIA AI Infrastructure and Operations, Generative AI ...

Deloitte

Senior Forward Deployed Engineer- AWS

Denver, CO · On-site

$107K - $147K/yr

AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI Practitioner (AIF-C01), AWS Certified Generative AI Developer (Professional - AIP-C01), AWS Certified ...

Mead & Hunt

Mechanical CAD/BIM Technician

Denver, CO · On-site

$25/hr

Associate degree (or higher) in computer aided drafting (CAD) or related field from an accredited ... Experience or familiarity with generative AI-driven tools, platforms, or systems (e.g. Microsoft ...

Deloitte

Lead Forward Deployed Engineer - AWS

Denver, CO

$105K - $139K/yr

AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI Practitioner (AIF-C01), AWS Certified Generative AI Developer (Professional - AIP-C01), AWS Certified ...

Deloitte

Forward Deployed Engineer- AWS

Denver, CO

AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI Practitioner (AIF-C01), AWS Certified Generative AI Developer (Professional - AIP-C01), AWS Certified ...

MDAEdge

Enterprise .Net Architect

Denver, CO · On-site

$71 - $91.50/hr

... other associates during system development; ensure systems' data architecture is compatible with ... Generative AI, Large Language Models (LLMs) • Data modeling, Datawarehouse, data lake and ...

Legora

Legal Engineer - Tax & Consulting

Denver, CO · On-site

$225K - $325K/yr

Not necessarily a coder, but passionate about navigating technical conversations, especially around things like generative AI, technology implementation, innovation and productivity. * Communicate ...

Legora

Legal Engineer - In-House

Denver, CO · On-site

$225K - $325K/yr

Not necessarily a coder, but passionate about navigating technical conversations, especially around things like generative AI, technology implementation, innovation and productivity. * Communicate ...

Accenture

Gemini Enterprise for CX Specialist

Denver, CO

$70K - $196K/yr

Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must ... Strong understanding how Generative AI is reshaping this industry. * Experience in a consulting ...

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All JobsGenerative Ai Associate JobsGenerative Ai Associate Jobs in Colorado

Generative Ai Associate information

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How much do generative ai associate jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for generative ai associate in Colorado is $18.32, according to ZipRecruiter salary data. Most workers in this role earn between $16.68 and $19.47 per hour, depending on experience, location, and employer.

What is a generative AI associate?

Generative AI Associates are professionals who support the development, implementation, and management of AI systems that create new content such as text, images, audio, or code. They often work with machine learning models, particularly those based on generative techniques like large language models or diffusion models. Their responsibilities may include data preparation, model training, prompt engineering, and evaluating AI outputs. Generative AI Associates typically collaborate with data scientists, engineers, and product teams to ensure AI solutions meet business and ethical standards.

How does a generative AI associate typically collaborate with data scientists and engineers on projects?

As a Generative AI Associate, you will often work closely with data scientists to understand data requirements and model objectives, and with engineers to help deploy and integrate AI solutions into existing systems. Collaboration usually involves regular meetings to align on project goals, sharing progress updates, and troubleshooting technical issues together. You may also assist with data preprocessing, building prototypes, and documenting workflows to ensure smooth handoffs between teams. This cross-functional teamwork is essential for delivering robust and scalable generative AI applications.

What are the key skills and qualifications needed to thrive as a generative AI associate, and why are they important?

To thrive as a Generative AI Associate, strong foundations in machine learning, data analysis, and programming (often Python) are essential, typically supported by a degree in computer science or a related field. Familiarity with popular AI frameworks such as TensorFlow, PyTorch, and experience using cloud platforms like AWS or Azure are commonly required, along with knowledge of prompt engineering and large language models. Creative problem-solving, effective communication, and a collaborative mindset are standout soft skills in this role. These skills and qualities enable associates to design innovative AI solutions, communicate complex ideas, and work efficiently in fast-evolving, interdisciplinary environments.

What are the most commonly searched types of Generative Ai jobs in Colorado?

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Generative Ai Associate jobs near you
Infographic showing various Generative Ai Associate job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 2% Temporary, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $38,105 per year, or $18.3 per hour.

Senior Cloud Support Engineer

Crusoe

Denver, CO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago

Job description

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack - from electrons to tokens - to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.
We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that - with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.
We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved - people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.
If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.
About This Role:
Crusoe Cloud is revolutionizing high-performance computing by offering sustainable, low-cost GPU compute power. As a Senior Cloud Support Engineer, you'll play a crucial role in empowering our customers to leverage this technology for groundbreaking advancements in fields like AI/ML, physics simulations, and computational biology. You will be the primary point of contact for technical support, ensuring our customers can seamlessly utilize Crusoe Cloud to achieve their goals. This role directly impacts Crusoe's mission by enabling our customers to accelerate their research and development, contributing to a more sustainable future. You will be involved in exciting projects, working with cutting-edge technologies and collaborating with a talented team to solve complex challenges. The ideal candidate is a highly motivated and experienced technical professional with a passion for customer success, a deep understanding of cloud technologies, and a commitment to Crusoe's values. This is a full-time position.
What You'll Be Working On:
  • Customer Support: Provide exceptional technical support to customers via Zendesk, meeting SLAs and maintaining high CSAT (95%+).
  • On-Call Rotation: Participate in a 24/7 on-call rotation to ensure timely resolution of critical issues.
  • Troubleshooting: Diagnose and resolve issues related to VMs, hardware failures, and scaling tests using CLI and internal tools.
  • Alert Triage and Maintenance: Manage alert triage, prepare for maintenance windows, and conduct node delivery testing.
  • Collaboration: Work closely with SRE, Networking, and Storage teams from initial triage to root cause analysis (RCA) delivery.
  • Global Teamwork: Adhere to global team collaboration and handoff processes for ticketing and on-call procedures.
  • Knowledge Sharing: Develop onboarding/training materials, knowledge base documentation, and standard operating procedures (SOPs).

What You'll Bring to the Team:
  • Education/Experience: Bachelor's degree in IT, Computer Science, Engineering, or a related field, or 4+ years of equivalent technical experience.
  • Linux Proficiency: Strong command-line interface (CLI) skills in Linux environments.
  • Version Control: Proficiency with Git for code management and collaboration.
  • Customer Support Experience: 5+ years of experience in a customer support role, ideally within cloud, storage, or networking environments.
  • Cloud Technologies: Experience with container orchestration (e.g., Kubernetes), workload management (e.g., Slurm, Terraform), and monitoring tools (e.g., Grafana).
  • Public Cloud Knowledge: Familiarity with other public cloud platforms (e.g., AWS, Azure, GCP).
  • Communication Skills: Excellent communication and customer service skills, including the ability to prioritize competing escalations.
  • HPC Knowledge: Understanding of HPC technologies such as Infiniband, RDMA, RoCE, and Software Defined Networking (SDN).

Bonus Points:
  • Certifications: CKA, CKAD, CKS, KCNA, AWS Machine Learning - Specialty, Data Analytics - Specialty, Solutions Architect - Professional, Developer - Associate, NVIDIA AI Infrastructure and Operations, Generative AI and LLMs, Generative AI Multi-modal, Infiniband, Linux Foundation IT Associate, System Administrator.
  • Cloud Expertise: Deep understanding of specific cloud platforms and services.
  • Automation Skills: Experience with automation tools and scripting languages.
  • Problem-Solving Abilities: Demonstrated ability to analyze complex technical issues and develop effective solutions.
  • Collaboration and Mentorship: Proven ability to mentor, train, and onboard colleagues.
  • Passion for Sustainability: A strong interest in contributing to a more sustainable future through technology.

Benefits:
  • Competitive compensation
  • Restricted Stock Units
  • Paid time off & paid holidays
  • Comprehensive health, dental & vision insurance
  • Employer contributions to HSA account
  • Paid parental leave
  • Paid life insurance, short-term and long-term disability
  • Professional development & tuition reimbursement
  • Mental health & wellness support
  • Commuter benefits (parking & transit)
  • Cell phone stipend
  • 401(k) Retirement plan with company match up to 4% of salary
  • Volunteer time off

Compensation:
Compensation will be paid between $130,000 and $155,000 + Bonus. Restricted Stock Units are included in all offers. Salary will be determined by the applicant's education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.
Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.
Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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