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Generative Ai Insurance Jobs in Colorado (NOW HIRING)

Slalom Consulting

General Information

Denver, CO · On-site

$120K - $145K/yr

Design, build, and deploy generative AI and machine learning solutions that solve business problems ... insurance. Slalom is committed to fair and equitable compensation practices. For this role, we are ...

GliaCell Technologies

Senior Software Engineer

Aurora, CO · On-site

$170 - $260/hr

Understanding of Generative AI concepts. Location Aurora, CO Salary Range The salary range for this ... Additional voluntary life insurance coverage available. EEO Statement GliaCell Technologies, LLC is ...

Deloitte

BPO/BPaaS Manager

Denver, CO · On-site

... Generative AI, transformative technologies, and creative design. We can enhance customer ... Leading insurance-focused operate and implementation engagements across business process ...

Deloitte

BPO/BPaaS Manager

Colorado Springs, CO · On-site

... Generative AI, transformative technologies, and creative design. We can enhance customer ... Leading insurance-focused operate and implementation engagements across business process ...

NetApp

Principal Product Manager

Boulder, CO · On-site

$228K - $325K/yr

Generative AI and large language models * Agentic systems and autonomous workflows ... This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off ...

Mead & Hunt

Mechanical CAD/BIM Technician

Denver, CO · On-site

$25/hr

Experience or familiarity with generative AI-driven tools, platforms, or systems (e.g. Microsoft ... Impressive Benefits Package Mead & Hunt proudly offers medical, dental, and vision insurance, paid ...

Five and Fly

Software Engineer

Denver, CO · On-site +1

... generative AI-enabling federal agencies, defense organizations, and public sector partners to ... insurance, unlimited PTO, and flexible parental leave, to a 401(k) with company match, equity, a ...

Five and Fly, LLC.

Software Engineer

Denver, CO · Remote

... generative AI-enabling federal agencies, defense organizations, and public sector partners to ... insurance, unlimited PTO, and flexible parental leave, to a 401(k) with company match, equity, a ...

Asurion

Assistant General Counsel

Sterling, CO · On-site

... insurance environment. The role has formal supervisory responsibility for attorneys and ... Demonstrated expertise in AI legal governance (e.g., NIST AI RMF 1.0, NIST Generative AI Profile ...

Vertafore

Sr. Content Marketing Manager

Denver, CO · On-site

... AI, and data-driven foundation to eliminate distribution drag across the insurance lifecycle ... generative AI tools to accelerate content creation and editing. • Experience in translating ...

Vertafore

Sr. Content Marketing Manager

Denver, CO · Hybrid

... AI, and data-driven foundation to eliminate distribution drag across the insurance lifecycle ... generative AI tools to accelerate content creation and editing. · Experience in translating ...

ROR Partners Inc

Marketing Analyst

Boulder, CO · On-site

$60K - $90K/yr

Competitive salary, health and dental insurance, life and disability, 401K, supplemental insurance ... Develop prompts and workflows for approved generative AI platforms while following governance ...

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Generative Ai Insurance information

How does a role in Generative AI Insurance typically collaborate with underwriters and data scientists?

Professionals in Generative AI Insurance often work closely with underwriters to analyze risk profiles and automate policy generation using advanced AI models. Collaboration with data scientists is also essential, as they help develop, test, and refine algorithms that can accurately assess claims, detect fraud, and personalize insurance offerings. This cross-functional teamwork ensures that AI solutions are both technically robust and aligned with industry regulations and business goals, providing opportunities to learn from various experts and contribute to innovative insurance products.

What is the difference between Generative Ai Insurance vs Data Scientist?

AspectGenerative Ai InsuranceData Scientist
Required CredentialsTypically requires knowledge of AI, machine learning, insurance policies, and data analysisRequires degrees in computer science, statistics, or related fields; often certifications in data analysis or machine learning
Work EnvironmentInsurance companies, AI firms, or tech departments within insurersTech companies, financial institutions, or insurance firms
Industry UsageDevelops AI models to automate insurance underwriting, claims, and risk assessmentAnalyzes data to extract insights, build predictive models, and inform business decisions

Generative Ai Insurance professionals focus on creating AI systems that generate content or automate insurance processes, while Data Scientists analyze data to inform strategies. Both roles require technical skills but differ in application and industry focus.

What is a Generative AI Insurance professional?

A Generative AI Insurance professional specializes in developing, managing, or implementing generative artificial intelligence solutions within the insurance industry. This role involves using advanced AI models to automate processes such as underwriting, claims processing, risk assessment, and customer service. These professionals work to optimize operations and improve decision-making by leveraging machine learning and data analysis. They also help ensure that AI-driven tools comply with regulatory standards and ethical guidelines.

What are the key skills and qualifications needed to thrive as a Generative AI Insurance specialist, and why are they important?

To thrive as a Generative AI Insurance Specialist, you need expertise in data analysis, machine learning, and a solid understanding of insurance products and risk assessment, usually backed by a degree in data science, actuarial science, or a related field. Familiarity with AI development frameworks (such as TensorFlow or PyTorch), insurance-specific analytics platforms, and relevant certifications like CPCU or data science credentials are typically required. Strong problem-solving, communication, and adaptability skills help bridge technical solutions with business needs and client expectations. These competencies ensure innovative, accurate risk modeling and effective implementation of AI solutions within the insurance sector.
What are popular job titles related to Generative Ai Insurance jobs in Colorado? For Generative Ai Insurance jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Generative Ai Insurance jobs in Colorado look for? The top searched job categories for Generative Ai Insurance jobs in Colorado are:
What cities in Colorado are hiring for Generative Ai Insurance jobs? Cities in Colorado with the most Generative Ai Insurance job openings:
Generative Ai Insurance jobs near you

General Information

Slalom Consulting

Denver, CO • On-site

$120K - $145K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 21 days ago

Job description

Description and Requirements
Job Description
AI/ML Engineer - Consultant
**** Please note: This role is not eligiblefor 100% remote work. Employees must live within a commutable distance of the Denver Office and must be willing to be onsite at the client and/or Slalom office when needed up to 3 days a week. ****
Who You'll Work With
As a modern technology company, our Slalom Technologists are disrupting the market and bringing to life the art of the possible for our clients. We have passion for building strategies, solutions, and creative products to help our clients solve their most complex and interesting business problems. We surround our technologists with interesting challenges, innovative minds, and emerging technologies. Slalom's Data AI capability focuses on next-level AI and Machine Learning solutions for clients. You'll join a diverse team of engineers, data scientists, and AI thought leaders. We work across modern AI platforms, develop novel AI solutions, and work with our technology partners to push their products into the future.
What You'll Do
  • Design, build, and deploy generative AI and machine learning solutions that solve business problems and improve how people work

  • Develop LLM-powered applications using RAG, agents, prompt engineering, tool and function calling, workflow automation, and fine-tuning where appropriate.

  • Apply Machine Learning, Deep Learning, and other relevant technologies to assist in building AI tools that solve real business problems.
  • Assist in the design, development, presentation, and delivery of traditional ML solutions in areas such as Computer Vision, NLP, Recommendation Systems, etc.
  • Stay updated on fundamental AI/ML concepts and emerging trends to contribute to solution discussions and development.
  • Contribute to the growth of the AI/ML community within the organization through learning, mentoring, and sharing knowledge.

What You'll Bring
  • 3-6 years of experience implementing models or machine learning algorithms into production
  • 1-3 years of professional Managed or IT Professional consulting experience.
  • Strong consultative and communication skills, and the ability to convey complex technical concepts to diverse stakeholders.
  • Solid technical foundation, combined with constant curiosity to stay on the creative edge of ML/AI solutions.
  • Technical and conversational fluency in AI, GenAI, Machine Learning and at least one of the major clouds (AWS, GCP, Azure)

  • Hands-on experience building generative AI solutions using LLMs, embeddings, vector search, RAG, agents, prompt engineering, fine-tuning or model adaptation, or similar techniques.
  • Experience with AI validation, evaluation, observability, and production quality metrics such as accuracy, groundedness, safety, latency, cost, and drift.

  • Experience deploying ML/AI into production, and ability to talk through best practices and pitfalls.
  • Understanding of validation frameworks for AI and ML tools, with knowledge of the production-ready offerings on the market for AI validation.
  • Excellent python, especially for ML/AI use cases.
  • Data Science and/or Data Engineering background preferred.
  • Nice to have:
    • Experience in a sales support role, within Data Science, Machine Learning, or AI.
    • Familiarity with leading data platforms like Databricks and Snowflake, and their basic services.
    • Experience implementing MLOps best practices and ML workflow tools, and the ability to translate this experience to creative LLMOps solutions.

About Us
Slalom is a fiercely human business and technology consulting company that leads with outcomes to bring more value, in all ways, always. From strategy through delivery, our agile teams across 52 offices in 12 countries partner with clients to co-create powerful customer experiences, modern ways of working, and meaningful impact.
What sets us apart? We believe work should be challenging and fulfilling, not perfect, but possible. That's why we prioritize purpose, flexibility, connection, and recognition, so our people can thrive and love what they do, most days.
Compensation and Benefits
Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses, as well as discounted home, auto, and pet insurance.
Slalom is committed to fair and equitable compensation practices. For this role, we are hiring at the following levels and targeted base pay salary ranges: The targeted base salary pay range for the Consultant role is $120,000 to $145,000. In addition, individuals may be eligible for an annual discretionary bonus. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.
We will accept applicants until July 6th, 2026 or until the position is filled.
We are committed to pay transparency and compliance with applicable laws. If you have questions or concerns about the pay range or other compensation information in this posting, please contact us at: peopleone@slalom.com. Please note, this recipient is not able to
support recruitment inquiries beyond this purpose.
EEO and Accommodations
Slalom is an equal opportunity employer and is committed to attracting, developing and retaining highly qualified talent who empower our innovative teams through unique perspectives and experiences. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team or contact accomodationrequest@slalom.com if you require accommodations during the interview process.

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