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Generative Ai Strategist Jobs in Colorado (NOW HIRING)

Generative AI Developer

Denver, CO · On-site

$104K - $152K/yr

Evaluate emerging GenAI technologies and recommend adoption strategies based on business value and risk. * Stay current with emerging research, tools, and frameworks in Generative AI, Agentic AI, and ...

Through strategic translation and rapid prototyping, the position converts generative AI and machine learning capabilities into measurable improvements in network reliability, bandwidth optimization ...

Through strategic translation and rapid prototyping, the position turns generative AI capabilities into measurable improvements in workforce efficiency, talent retention, and HR service delivery.

... strategy sessions, and cross business unit discussions. * Develop reusable AI solutions, demo ... Use machine learning, natural language processing, OCR, automation, Generative AI, and model ...

AI Engineer

Denver, CO

$110K - $150K/yr

... strategies in collaboration with architecture and platform teams. Minimum Qualifications * 4+ years of software engineering experience, with at least 1 year building Generative AI applications.

... strategies in collaboration with architecture and platform teams. Minimum Qualifications * 4+ years of software engineering experience, with at least 1 year building Generative AI applications.

Stay on top of advancements in generative AI, LLMs, and financial AI applications to guide innovation strategy. Required Qualifications • Bachelor's or Master's degree in Data Science, Computer ...

AI Data Scientist

Fort Collins, CO · On-site

$120 - $180/hr

Stay on top of advancements in generative AI, LLMs, and financial AI applications to guide innovation strategy.Required QualificationsBachelor's or Master's degree in Data Science, Computer Science ...

AI Data Scientist

Fort Collins, CO · On-site

$102K - $146K/yr

Stay on top of advancements in generative AI, LLMs, and financial AI applications to guide innovation strategy. Required Qualifications • Bachelor's or Master's degree in Data Science, Computer ...

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Generative Ai Strategist information

What is a generative AI strategist?

A Generative AI Strategist is a professional who develops and implements strategies for leveraging generative artificial intelligence technologies, such as large language models and image generators, within an organization. Their role involves identifying opportunities for AI-driven innovation, assessing risks, guiding adoption, and ensuring responsible use of AI tools. They collaborate with technical teams, business leaders, and stakeholders to align AI initiatives with organizational goals and industry best practices.

How does a generative AI strategist typically collaborate with cross-functional teams to drive AI initiatives?

Generative AI Strategists often work closely with data scientists, engineers, product managers, and business stakeholders to identify opportunities where AI can add value. They facilitate communication between technical and non-technical teams, ensuring that AI solutions align with business goals. These strategists are also responsible for translating complex AI concepts into actionable project plans, guiding implementation, and providing strategic oversight throughout the development lifecycle. This collaborative approach helps ensure successful adoption and integration of generative AI technologies within the organization.

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

To thrive as a Generative AI Strategist, you need a strong background in artificial intelligence, data science, and business strategy, often supported by relevant degrees or certifications. Familiarity with AI frameworks (like TensorFlow or PyTorch), prompt engineering, cloud platforms, and tools for model evaluation is typically required. Exceptional communication, creative problem-solving, and cross-functional collaboration skills help translate complex AI concepts into actionable business strategies. These abilities are crucial for leveraging generative AI to drive innovation and achieve organizational goals effectively.

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

AspectGenerative Ai StrategistData Scientist
Required CredentialsAI certifications, machine learning knowledge, domain expertiseStatistics, programming, data analysis skills, often a degree in CS or related fields
Work EnvironmentTech companies, AI startups, R&D teams focusing on AI applicationsVarious industries including finance, healthcare, tech; data analysis and modeling roles
Employer & Industry UsagePrimarily in AI-driven companies developing generative modelsAcross industries for data analysis, predictive modeling, and insights

While both roles require strong technical skills and familiarity with machine learning, a Generative Ai Strategist focuses on developing and implementing generative AI solutions, whereas a Data Scientist analyzes data to extract insights and build predictive models. The strategist role is more specialized in generative models, often involving strategic planning and AI deployment.

What are popular job titles related to Generative Ai Strategist jobs in Colorado?

For Generative Ai Strategist jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Generative Ai Strategist jobs in Colorado look for?

The top searched job categories for Generative Ai Strategist jobs in Colorado are:

What cities in Colorado are hiring for Generative Ai Strategist jobs?

Cities in Colorado with the most Generative Ai Strategist job openings:

Infographic showing various Generative Ai Strategist job openings in Colorado as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution.

Generative AI Developer

Denver, CO • On-site


Stantec
Specialized Design Services • 10K+ employees

8.4

Company rating: 8.4 out of 10

Based on 84 frontline employees who took The Breakroom Quiz

123rd of 450 rated engineering

People enjoy working here

Good employer

Recommended by students


$104K - $152K/yr

Full-time, Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago


Job description

At Stantec, we have some of the world's leading professionals passionate about enabling our business to be its best. Our business teams include finance, procurement, human resources, information technology, marketing, corporate development, HSSE, real estate, legal, and practice services. We bring diverse backgrounds, skills, and expertise and create a caring culture where everyone can thrive. Through teamwork and collaboration, we're building a stronger, more resilient Stantec every day.
Your Opportunity
We are seeking a GenAI Developer to drive the design, maturation, and enterprise deployment of generative AI and agentic AI systems within Stantec's Digital Center of Excellence (DCoE). This role will support a growing portfolio of AI initiatives across the organization, focusing on building scalable, secure, and well-governed solutions, including LLM-powered agents, multi-agent systems, retrieval-augmented generation (RAG), and intelligent automation platforms.
You will work closely with data scientists, engineers, enterprise architects, and business stakeholders to define architectural patterns, establish technical standards, and guide the implementation of advanced GenAI capabilities. This position plays a critical role in shaping enterprise AI architecture, ensuring solutions are reliable, compliant, and aligned with Stantec's governance, security, and responsible AI principles.
Your Key Responsibilities
  • Design, build, and deploy end-to-end GenAI solutions and agentic solutions, including model lifecycle management, evaluation, deployment, and monitoring.
  • Partner with ML/AI leads and engineering teams to integrate LLMs, autonomous agents, and GenAI services into existing and new solution pipelines.
  • Review and advise on infrastructure approaches, including containerization, orchestration, and infrastructure-as-code to ensure scalability, security, and operational readiness.
  • Collaborate with product owners, engineering, security, and data teams to design solutions that meet functional and non-functional requirements (performance, reliability, compliance, and cost).
  • Establish and enforce governance for model usage, prompt and tool management, safety controls, data handling, and lifecycle management.
  • Design integrations with enterprise data platforms, knowledge sources, and APIs, ensuring appropriate access controls and auditability.
  • Document architectural patterns, methodologies, and lessons learned.
  • Evaluate emerging GenAI technologies and recommend adoption strategies based on business value and risk.
  • Stay current with emerging research, tools, and frameworks in Generative AI, Agentic AI, and multi-agent systems.
  • Design, build, and deploy agentic solutions using Microsoft Copilot Studio, including configuration of topics, actions, integrations, and orchestration logic.

Qualifications
  • Strong background in designing and delivering modern cloud solutions, APIs, and data/AI platforms.
  • Demonstrated knowledge and hands-on experience in building custom AI agents, including development using platforms such as Azure AI Foundry and Microsoft Copilot Studio.
  • Familiarity with security, privacy, and governance practices for enterprise AI solutions.
  • Ability to communicate complex concepts clearly to technical and non-technical audiences, influencing stakeholders through architecture guidance.
  • Experience partnering across disciplines in agile delivery environments.
  • Understanding application deployment, hosting, and scaling within Azure.

Education and Experience
  • Master's degree or higher degree in Computer Science, Engineering, or related field (or equivalent experience).
  • 5+ years of professional experience in AI/ML solution delivery, with recent hands-on GenAI solution experience.
  • Experience deploying AI/GenAI solutions in Azure environments, including familiarity with Azure AI Foundry, would be highly valued.
  • Experience developing AI agents in Microsoft Copilot Studio is highly preferred.

Pay Range:
• Locations in CO, HI, IL, MD & Various CA, NJ Areas-$104,800.00 - $152,000.00 Annually
Pay Transparency: In compliance with pay transparency laws, pay ranges are provided for positions in locations where required. Please note, the final agreed upon compensation is based on individual education, qualifications, experience, and work location. At Stantec certain roles are bonus eligible. Actual compensation for part-time roles will be pro-rated based on the agreed number of working hours per week.
Benefits Summary: Regular full-time and part-time employees (working at least 20 hours per week) have access to medical, dental, and vision plans, a wellness program, health saving accounts, flexible spending accounts, 401(k) plan, employee stock purchase program, life and accidental death & dismemberment (AD&D) insurance, short-term/long-term disability plans, emergency travel benefits, tuition reimbursement, professional membership fee coverage and paid family leave. Regular full-time and part-time employees will receive ten paid holidays in each calendar year. In addition, employees will be eligible to accrue vacation between 10 and 20 days per year and eligible for paid sick leave (and if more generous, in accordance with state and local law).
Temporary/casual employees have access to 401(k) plans, employee stock purchase program, and paid leave, in accordance with state and local law.
The benefits information listed above may not apply to union positions because benefits for such positions are governed by applicable collective bargaining agreements
Primary Location: United States | TX | Austin
Other Locations: United States | CO | Denver
Organization: BC-2259 Innovation-US Digital COE
Employee Status: Regular
Business Justification: Replacement
Travel: No
Schedule: Full time
Job Posting: 15/04/2026 06:04:33
Req ID: 1004649
#additional
Stantec provides equal employment opportunities to all qualified employees and applicants for future and current employment and prohibit discrimination on the grounds of race, colour, religion, sex, national origin, age, marital status, genetic information, disability, sexual orientation, gender identity or gender expression. We prohibit discrimination in decisions concerning recruitment, hiring, referral, promotion, compensation, fringe benefits, job training, terminations or any other condition of employment. Stantec is in compliance with laws and regulations and ensures equitable opportunities in all aspects of employment. At Stantec we are committed to ensuring our recruitment process is accessible to all. If you require reasonable adjustments to be made during the recruitment process then please inform a member of our Talent Acquisition team.


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