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Manager Prompt Engineering Jobs in Colorado (NOW HIRING)

... project management, planning and sound architectural decisions * Advanced Generative AI experience, including prompt engineering, LLM application architecture, model evaluation, responsible AI ...

Sr. Staff AI/ML Engineer

Denver, CO ยท On-site

$245K - $272K/yr

... prompt management, observability, and safety guardrails - that enable product teams to rapidly ... Strong Python skills and sound software engineering fundamentals - testing, code review, CI/CD ...

Hands-on experience with LLMs, including prompt engineering, agent frameworks, tool-use patterns ... Ability to manage development work independently. * Ability to translate non-technical needs into ...

Industry/Sector Not Applicable Specialism Data Science Management Level Senior Associate & Summary ... prompt engineering concepts - Understanding enterprise data patterns and quality frameworks ...

... prompt engineering for LLM outputs - Developing scalable data storage solutions using cloud services - Designing and managing data warehouses and data lakes - Implementing IAM roles and policies for ...

ERP AI Engineer - Manager

Denver, CO ยท On-site

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Oracle Management Level Manager & Summary At PwC, our ... and prompt engineering - Building scalable, cloud-native microservices and containerized ...

Learn to design, build, and manage AI agents (using platforms such as Kindo.ai, n8n, and Claude ... Familiarity or strong willingness to learn AI/ML concepts, prompt engineering, and agentic ...

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Manager Prompt Engineering information

What is a Manager of Prompt Engineering?

A Manager of Prompt Engineering is a professional who leads teams focused on designing, developing, and optimizing prompts for artificial intelligence models, particularly large language models (LLMs) like ChatGPT. They oversee the creation of effective prompts to ensure AI systems provide accurate, relevant, and safe responses. This role involves collaborating with data scientists, engineers, and product managers, as well as setting best practices for prompt creation and evaluation. Additionally, they may be responsible for training team members and implementing strategies to improve prompt performance over time.

What are the key skills and qualifications needed to thrive as a Manager of Prompt Engineering, and why are they important?

To thrive as a Manager of Prompt Engineering, you need expertise in natural language processing, AI model deployment, and prompt design, typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), prompt engineering platforms, and version control systems is expected, along with experience managing technical teams. Strong leadership, problem-solving, and communication skills distinguish top performers in this role. These abilities are crucial for ensuring effective AI solutions, driving team productivity, and aligning prompt engineering initiatives with organizational goals.

How does a Manager of Prompt Engineering typically collaborate with cross-functional teams to optimize AI outputs?

As a Manager of Prompt Engineering, you will frequently collaborate with data scientists, software engineers, product managers, and UX designers to refine and optimize prompt strategies for AI models. This involves translating business requirements into effective prompt templates, conducting prompt experiments, and communicating findings to stakeholders. Regular cross-functional meetings and feedback sessions are common, ensuring that the AI outputs align with both technical capabilities and user needs. Building strong relationships across teams is essential for successfully iterating on prompt designs and deploying scalable solutions.
What are the most commonly searched types of Prompt Engineering jobs in Colorado? The most popular types of Prompt Engineering jobs in Colorado are:
Infographic showing various Manager Prompt Engineering job openings in Colorado as of July 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.
Senior Data Scientist

Senior Data Scientist

AArete

Denver, CO โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Description

Senior Data Scientist

AArete is one-of-a-kind when it comes to consulting firm culture.

We're a global, innovative management and technology consulting firm with offices in the U.S. and India. Our name comes from the Greek word for excellence: "Arete." And excellence is exactly what we strive for.

We're celebrating our fourth year as one of Forbes' World's Best Management Consulting Firms - and our success starts with our people. From robust career development planning to competitive life and wellness benefits, AArete's "Culture of Care" takes a holistic approach to the employee experience.

AAretians (our team members) are leaders at every level. You are encouraged to unlock your full potential by directly contributing to our mission and prioritizing personal development and fulfillment.

The Role

We are looking for a Senior Data Scientist who will support our client teams with insights gained from analyzing data leveragingadvanceanalytics techniques. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate has the capability to formulate data driven solutions in collaboration with stakeholders' business requirements. In the new age of AI, this role will lead the design, evaluation, and operationalization of advanced Generative AI and Agentic AI solutions that responsibly augment analytical workflows, accelerate client delivery, and convert complex data into practical business action.

Work You'll Do

  • Work directly with client teams to identify opportunities for leveraging advanced analytical techniques to drive business solutions
  • Develop custom AI/ML models and algorithms to apply to data sets
  • Develop processes and tools to create and monitor data models while maintaining accuracy and other associated metrics necessary for the business objective
  • Lead the design, prototyping, and evaluation of Agentic AI workflows, including tool-using agents, retrieval-augmented generation, orchestration patterns, and human-in-the-loop controls
  • Apply and guide advanced Generative AI techniques, including prompt engineering, model evaluation, grounding, safety guardrails, and responsible AI practices, to solve complex client business problems
  • Leverage and mentor others in the use of AI assistive engineering tools such as Claude Code, GitHub Copilot, or similar platforms to improve development velocity, code quality, documentation, and experimentation
  • Provide technical leadership in rapidly learning new domains, framing ambiguous problems, and translating AI/ML opportunities into measurable client outcomes
  • Other duties as assigned

Requirements

  • 6+ years of work experience with a bachelor's degree in quantitative field such as Data Science, Computer Science, Statistics, Economics, Math, Engineering, advanced degree preferred
  • Previous experience working with relational databases and developing advanced SQL queries is a must
  • Hands-on Agentic AI experience, including leading or evaluating AI agents, multi-step AI workflows, tool/function calling, retrieval-augmented generation, or workflow orchestration frameworks
  • Ability to lead projects and mentor junior data scientists, own and deliver outcome with thorough project management, planning and sound architectural decisions
  • Advanced Generative AI experience, including prompt engineering, LLM application architecture, model evaluation, responsible AI practices, and delivery of AI-enabled solutions in business settings
  • Advanced Python experience for data science, machine learning, model experimentation, automation, API integration, and production-quality analytical workflows
  • Strong AI/ML background with practical depth across supervised learning, unsupervised learning, model validation, feature engineering, statistical analysis, and business-focused experimentation
  • Demonstrated ability to learn and adapt quickly in fast-changing AI environments, with passion for AI, curiosity, and a continuous learning mindset
  • Strong problem-solving and technical leadership skills with the ability to structure ambiguous business questions, test hypotheses, and guide teams toward practical analytical recommendations
  • Experience leveraging AI assistive tools such as Claude Code, GitHub Copilot, or similar tools to accelerate coding, analytics, documentation, testing, and solution development
  • Experience working with businessintelligence platforms: Tableau, Power BI, etc.
  • Must be legally authorized to work in the United States without the need for employer sponsorship

Preferred Requirements

  • Based in Chicago, IL, and flexible to work from our Chicago office as needed
  • Healthcare industry experience, especially with payer, provider, clinical, claims, revenue cycle, population health, or healthcare operations data
  • AWS cloud experience, including familiarity with services such as Amazon SageMaker, Amazon Bedrock, Lambda, Glue, S3, Redshift, or related cloud-native AI/ML services
  • Snowflake experience, including data modeling, SQL optimization, secure data sharing, or analytics engineering in cloud data warehouse environments
  • Consulting background with experience working directly with clients, managing ambiguity, and delivering executive-ready recommendations
  • AWS AI or machine learning certifications, such as AWS Certified Machine Learning Engineer, AWS Certified Machine Learning Specialty, AWS Certified AI Practitioner, or related AWS credentials

Compensation & Benefits

  • Flexible PTO, monthly half-day refuels, volunteer time off, 10 paid holidays
  • Own Your Day flexible work policy
  • Competitive majority employer-paid benefits: Medical, Dental, Vision, 401K Match
  • Generous paid parental leave options
  • Employer-paid Life Insurance, Short Term Disability, Long Term Disability
  • Charitable contribution matching program
  • New client commission opportunities and referral bonus program
  • Bike share discount program

The estimated base salary range for this position is $125,000 - $145,000. In addition to this base salary, individuals may be eligible for an annual discretionary bonus. This range is a part of a competitive, total compensation package together with our majority employer-paid benefits and incentive pay for eligible roles. Please note that this range is a guideline, and individual total compensation may vary due to numerous factors, including but not limited to experience level, certifications, and other relevant business considerations.

AArete will accept applications until the position is filled. The job posting will be removed once the role is no longer available.

We put humans at the center of our work

We're a global management and technology consulting firm specializing in strategic profitability improvement, digital transformation, and strategy & change for clients. Our cross-industry solutions are powered by a digital-first mindset, market intelligence, and data-driven approach to deliver purposeful change, actionable insights, and guaranteed results.

But what sets us apart is our people. We are guided by our deeply embedded guiding principles: Excellence, Passion, Loyalty to Clients, Stewardship, Family, Community, Sustainability, and Inclusion.

And we've been recognized as a top firm to work for by companies like Forbes, Top Workplaces Chicago Tribune, and Consulting Magazine.

We've earned a Great Place to Work Certification and been named a World's Best Management Consulting Firm by Forbes, Vault's Top 50 Firms to Work For, Crain's Chicago Business Fast 50, Inc 5000's Fastest Growing Firms, and Consulting Magazine's Fastest Growing Firms.

Learn more about our award-winning culture

AArete, LLC ("AArete") may utilize Artificial Intelligence/Automated Decision-Making Technology/Automated Employment Decision Technology tools and resources ("AI" or "tools" or "resources") to assist humans in generating job descriptions and postings, recruitment, analyzation of information, screening candidates, evaluation of candidate information, and assisting humans in the selection of potential candidates by all levels of AArete employees for all positions.

AArete may use Microsoft Co-Pilot, OpenAI ChatGPT, Anthropic Claude, Google Gemini, LinkedIn Recruiter AI and Hiring Assistant, Jobvite Talent Fit and AArete HireSense. AArete may use all the information you provide. Submission of information to AArete shall serve as consent to AArete's use of AI tools and resources. AArete complies with all applicable law and does not use AI to discriminate against any individual and does not use location or geographic data like zip codes to act in a discriminatory or illegal manner. Your personal data may be used in relation to prospective employment with AArete and will only be retained for so long as legally necessary.

AArete shall comply with its posted privacy policies and candidates may contact Recruiting or Privacy Departments, as identified below, to request accommodations or to exercise any of your applicable rights, pursuant to applicable law:

Recruiting: [emailprotected]