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Generative Ai Strategist Jobs (NOW HIRING)

CGI

AI Strategist

Houston, TX · Hybrid

$116K - $149K/yr

AI Strategy and Transformation Leadership . Define enterprise AI strategies, value pools, and ... Demonstrate strong working knowledge of AI/ML, Generative AI, LLMs, copilots, RAG, embeddings ...

CGI Inc.

AI Strategist

Houston, TX · On-site

$78K - $90K/yr

AI Strategist Category: Analytics and Emerging Digital Technologies Main location: United States ... Demonstrate strong working knowledge of AI/ML, Generative AI, LLMs, copilots, RAG, embeddings ...

Ema

AI Strategist

San Francisco, CA · On-site

Role Overview We are seeking a seasoned AI Strategist to lead strategic enterprise accounts and ... Prior exposure to AI, Generative AI platforms, or data transformation initiatives. * Experience ...

Ema

AI Strategist

Bodega Bay, CA · On-site

Role Overview We are seeking a seasoned AI Strategist to lead strategic enterprise accounts and ... Prior exposure to AI , Generative AI platforms, or data transformation initiatives. * Experience ...

Cognizant Technology Solutions

AI Strategist

Seattle, WA · On-site

$180K - $220K/yr

This role bridges business strategy, AI capabilities, and industry needs to create scalable, market ... Exposure to AI platforms, generative AI tools, and industry-specific use cases * Strong commercial ...

Brandlight

AI Strategist

New York, NY · On-site

$115K - $240K/yr

About the Role As a Senior SEO & AI Search Strategist at Brandlight, you'll be a hands-on expert ... Strong understanding of AI-driven search and how brands win in generative discovery * Trusted ...

Further

AI Strategist (CLE)

Cleveland, OH

$117K - $152K/yr

AI Strategist This is a rare opportunity to sit at the intersection of business strategy and ... Hands-on experience driving adoption of Generative AI solutions in the enterprise * Bonus Points:

Elliot Partnership

Lead Generative AI Developer

New York, NY · On-site

$64.50 - $84.50/hr

* Lead Generative AI Developer for a leading Quant Firm * Hybrid working in New York * Highly ... AI strategy in a fast-evolving landscape. Who you are: * Experienced & Technical - 6+ years in ...

Perficient, Inc.

AI/ML Data Strategist

Saint Louis, MO

$113K - $147K/yr

The AI Strategist operates at the intersection of business strategy, emerging technology, and ... From building modern data platforms to applying machine learning and generative AI, we help ...

Further

AI Strategist (AUS)

Austin, TX

$120K - $155K/yr

AI Strategist This is a rare opportunity to sit at the intersection of business strategy and ... Hands-on experience driving adoption of Generative AI solutions in the enterprise * Bonus Points:

Further

AI Strategist (ATL)

Atlanta, GA · On-site

$116K - $151K/yr

AI Strategist This is a rare opportunity to sit at the intersection of business strategy and ... Hands-on experience driving adoption of Generative AI solutions in the enterprise * Bonus Points:

Further

AI Strategist (CLE)

Cleveland, OH

$117K - $152K/yr

AI Strategist This is a rare opportunity to sit at the intersection of business strategy and ... Hands-on experience driving adoption of Generative AI solutions in the enterprise * Bonus Points:

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Generative Ai Strategist information

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$45K

$139.9K

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How much do generative ai strategist jobs pay per year?

As of Jun 10, 2026, the average yearly pay for generative ai strategist in the United States is $139,867.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,500.00 and $157,000.00 per year, depending on experience, location, and employer.

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 do Generative AI Strategists 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.

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Generative Ai Strategist jobs near you

AI Strategist

Comprehensive Insurance Providers Inc

Cambridge, MA • On-site

$89K - $103K/yr

Full-time

Posted 5 hours ago

Job description

Job Type
Full-time
Description
About the Role
We're seeking an AI Strategist to bridge the gap between cutting-edge artificial intelligence capabilities and tangible business outcomes. In this role, you'll shape our AI roadmap, identify transformative opportunities, and guide AI initiatives from concept through successful deployment. You'll work cross-functionally to translate technical possibilities into business value while ensuring our AI systems remain ethical, trustworthy, and aligned with company objectives.
Key Responsibilities
AI Vision & Strategy Develop and implement comprehensive AI strategies that align with company goals, identifying high-impact opportunities for AI integration across the organization.
Use Case Development Define, scope, and prioritize AI projects across functions (product, finance, customer service, operations) using frameworks like ICE (Impact, Confidence, Ease) to ensure resources are directed toward maximum-value initiatives.
Technical-Business Bridging Translate complex AI/ML capabilities, including Generative AI, agentic workflows, and emerging technologies into clear, business-friendly language that enable non-technical stakeholders to make informed decisions.
Operationalization: Guide AI prototypes and pilots through the full innovation funnel, from ideation to production deployment and scaling, ensuring smooth transitions and sustained value creation.
Governance & Ethics Establish and maintain AI governance frameworks that ensure our systems are trustworthy, compliant with data privacy regulations (GDPR, CCPA, etc.), and aligned with ethical AI principles.
Performance Metrics Define KPIs and measurement frameworks to track ROI, adoption rates, and value creation of AI initiatives, providing data-driven insights to optimize ongoing and future projects.
What Success Looks Like
Within your first year, you will have established a clear AI roadmap, launched 3 high-impact AI use cases into production, and built strong collaborative relationships across business teams. You'll have created frameworks and processes that enable the organization to evaluate, develop, and deploy AI solutions efficiently and responsibly.
Requirements
Qualifications Required:
  • 5 years of experience in AI/ML strategy, digital transformation, or related roles
  • Demonstrated understanding of AI/ML technologies, including LLMs, generative AI, and agentic systems
  • Proven track record of translating technical concepts for executive and non-technical audiences
  • Experience prioritizing and managing multiple AI initiatives simultaneously
  • Strong understanding of data privacy regulations and AI ethics frameworks
  • Excellent stakeholder management and communication skills

Preferred:
  • Experience with AI governance and responsible AI practices
  • Background in Insurance, Finance, Business Consulting
  • Technical degree or certifications in AI/ML, data science, or related fields
  • Familiarity with cloud AI platforms (Azure AI, AWS, GCP)
  • Experience with change management and organizational adoption strategies

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