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Generative Ai Strategist Jobs in Raleigh, NC (NOW HIRING)

AI Engineer

Cary, NC

$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.

... generative AI approaches, including RAG and prompt strategies. • Define agentic workflows and reasoning strategies for multi-step legal tasks. • Define retrieval strategies, including hybrid ...

... generative AI and agentic AI.Members of the STG unit play a strategic role in shaping technology direction, solving complex business challenges, and delivering resilient, high-quality outcomes. They ...

Senior Product Manager, AI

Raleigh, NC · On-site

$123K - $162K/yr

Define and own the AI strategy for Siemens Asset Management Solutions, aligning investments with ... Demonstrate a deep understanding of modern AI technologies, including generative AI, machine ...

In this role, you will leverage advanced analytical modeling, data visualization, and emerging Generative AI technologies to drive strategic sourcing, procurement optimization, and global supply ...

New

... AI strategies, and deliver innovative technology solutions. The successful candidate will also ... Experience with Generative AI technologies and AI-enabled business solutions. * Strong ...

... AI strategies, and deliver innovative technology solutions. The successful candidate will also ... Experience with Generative AI technologies and AI-enabled business solutions. * Strong ...

Showing results 21-40

Generative Ai Strategist information

See Raleigh, NC salary details

$43.7K

$136K

$172.5K

How much do generative ai strategist jobs pay per year?

As of Sep 7, 2026, the average yearly pay for generative ai strategist in Raleigh, NC is $135,962.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,100.00 and $152,600.00 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 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 Raleigh, NC?

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

What job categories do people searching Generative Ai Strategist jobs in Raleigh, NC look for?

The top searched job categories for Generative Ai Strategist jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Generative Ai Strategist jobs?

Cities near Raleigh, NC with the most Generative Ai Strategist job openings:

Infographic showing various Generative Ai Strategist job openings in Raleigh, NC as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $135,962 per year, or $65.4 per hour.

$110K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago


Key responsibilities

  • Build, deploy, and integrate AI-based solutions into business workflows using pretrained models and Copilot technologies.

  • Integrate enterprise data sources securely and support solution reliability, performance monitoring, and troubleshooting.

  • Collaborate with solution architects and platform teams to ensure AI solutions are production-ready and scalable.


GEI Consultants rating

7.6

Company rating: 7.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

286th of 453 rated engineering


Job description

Description

Your role at GEI. 
 
The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained models and copilots, to support GEI’s priority digital and AI initiatives. This role focuses on building, deploying, and integrating AI capabilities into business workflows in a secure, scalable, and maintainable manner.
 
The AI Engineer plays a hands-on role in active AI Solutions Factory use cases by implementing AI-based solutions, integrating enterprise data sources, and supporting solution reliability and performance. This role works closely with solution architects and platform teams to ensure AI solutions are production-ready, aligned with GEI standards, and capable of scaling across use cases.
 
Essential Responsibilities & Duties 
  • Build and deploy AI-based solutions using pretrained models and Copilot technologies.
  • Design and implement prompt flows, plugins, and orchestrations using Copilot Studio and Azure Functions.
  • Integrate AI capabilities into business workflows and applications.
  • Integrate enterprise data sources securely, including APIs, Graph connectors, retrieval-augmented generation (RAG), and event-driven patterns.
  • Maintain and optimize Power BI dashboards that support AI-enabled workflows and insights.
  • Instrument AI solutions for telemetry, reliability, performance monitoring, and cost control.
  • Provide technical support and troubleshooting for deployed AI solutions.
  • Identify implementation risks and support mitigation 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.
  • Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks.
  • Proficiency in at least one programming language such as Python, PySpark, R, or SQL.
  • Experience delivering Generative AI (LLM) solutions, preferably on Azure.
  • Familiarity with Azure AI library APIs, including GPT, Codex, and DALL·E, and other frameworks (e.g., Databricks Mosaic) for integrating Generative AI into business workflows.
  • Knowledge of big data technologies such as Spark and Databricks; familiarity with TensorFlow and PyTorch is a plus.
  • Knowledge of Azure cloud services, including Azure AI Platform, Azure Data Factory, Azure Synapse, and Azure Cognitive Services, and their integration with ML workflows.
  • Familiarity with AI ethics, bias mitigation, explainability techniques, and responsible AI practices.
  • Knowledge of security best practices for AI solutions, including data encryption, access control, and endpoint protection.
  • Prior experience implementing AI/ML solutions in professional services, engineering, or construction environments is a plus.
  • Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus. 
We are GEI. 
 
Some of the world’s most pressing problems – from climate change to sustainable development, to critical infrastructure and the future of our energy supply – need our brightest and diverse minds working together to create safer, more resilient communities for tomorrow.  
 
We are technical experts, collaborators, and entrepreneurs who draw from diverse backgrounds to solve our clients’ most complex challenges.  
 
With several offices across North America, we offer a range of engineering, science, and technical consulting services. Our range of expertise, project types, and culture make us the choice for top talent in the AEC industry. See all our office locations here.
 
Employee-owned. Employee-focused.  
 
As an employee-owned company, our employees support our flat leadership structure, have a say in how our business operates and benefit from our financial success. We are committed to employee growth with career development opportunities, competitive total rewards, a well-being program, flexible work arrangements and more.  Our company culture is driven by our 4 Cs – we are Client-Centered, Curious, Collaborative, and Community Minded – which support our focus on sustainability, safety, diversity, equity and inclusion. Get to know us better by visiting GEI’s career site here.
 
GEI’s Total Rewards Package Includes 
  • Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus
  • Pay Range For This Position: $110,000.00– $150,000.00/year
  • Comprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and More
  • Well-Being Program and Paid Parental Leave
  • Commuter Benefits
  • Hybrid Work Schedules and Cell Phone Stipends
  • GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement
  • Connecting Conversation Program with a Focus on Professional Development and Opportunities for Advancement
  • Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses
  • Paid Holidays and Generous Paid Time Off Program
  • Rewards and Recognition
  • GEI-Funded Profit Sharing and 401(k)
  • Opportunity to be an Owner and Shareholder (Learn more here)
  • A Vibrant Culture that is Focused on Partnership, Sustainability, Giving Back to Our Communities and Diversity, Equity and Inclusion
  • And More…
PHYSICAL REQUIREMENTS 
WORK ENVIRONMENT 
  
  
  
Functional Demands:    
 
 
 
 
Sedentary
Light
 
Medium
Other
 
 
Activity Level Throughout Workday (check one per row) 
Physical Activity Requirements
Occasional
(0-35% of day)
Frequent
(33-66% of day)
Continuous
(67-100% of day)
Not Applicable
Sitting
 
 
 
Standing
 
 
 
Walking
 
 
 
Climbing
 
 
 

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