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

NetApp

Principal Product Manager

Morrisville, NC · On-site

$228K - $325K/yr

... longterm strategy, architecture, and execution of generative and agentic AI platforms. This role is reserved for a recognized product leader who operates with companylevel strategic impact ...

TriMark Digital

SEO / GEO / AEO Strategist

Raleigh, NC · On-site

This role sits at the intersection of traditional search, generative search (AI-driven results ... Youll lead content strategy with a performance mindsetbuilding scalable, data-informed programs ...

TriMark Digital

SEO / GEO / AEO Strategist

Raleigh, NC · On-site

SEO / GEO / AEO Strategist We're looking for a search strategist who understands that "SEO" isn't ... This role sits at the intersection of traditional search, generative search (AI-driven results ...

TriMark Digital

SEO / GEO / AEO Strategist

Raleigh, NC · On-site

SEO / GEO / AEO Strategist We're looking for a search strategist who understands that "SEO" isn't ... This role sits at the intersection of traditional search, generative search (AI-driven results ...

First Citizens Bank

Principal AI Architect

Raleigh, NC · On-site

$160K - $240K/yr

This role combines strong hands-on engineering with strategic innovation to design, prototype, and ... generative AI, or related domains. • Experience with agentic AI design patterns, including tool ...

First Citizens Bank

Principal AI Architect

Raleigh, NC · On-site

$160K - $240K/yr

This role combines strong hands-on engineering with strategic innovation to design, prototype, and ... generative AI, or related domains. • Experience with agentic AI design patterns, including tool ...

First Citizens Bank

Principal AI Architect

Raleigh, NC

$160K - $240K/yr

This role combines strong hands-on engineering with strategic innovation to design, prototype, and ... generative AI, or related domains. • Experience with agentic AI design patterns, including tool ...

Munich Re

Technical Architect - Data, Analytics & AI

Cary, NC · Hybrid

$59 - $76/hr

... generative AI use cases. * Collaborate with Data Science, Engineering, Security, and Risk teams to ... Evaluate emerging AI technologies, tools, and platforms and provide strategic recommendations for ...

Munich Re

Technical Architect - Data, Analytics & AI

Durham, NC · Hybrid

$61.50 - $79.25/hr

... generative AI use cases. * Collaborate with Data Science, Engineering, Security, and Risk teams to ... Evaluate emerging AI technologies, tools, and platforms and provide strategic recommendations for ...

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All JobsGenerative Ai Strategist JobsGenerative Ai Strategist Jobs in Raleigh, NC

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 Aug 11, 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 do I become a Generative Ai Strategist?

To become a Generative AI Strategist, develop expertise in artificial intelligence, machine learning, and natural language processing through relevant degrees or certifications. Gain experience with AI tools and platforms such as TensorFlow or PyTorch, and stay updated on emerging generative models like GPT or DALL·E. Strong analytical, strategic thinking, and communication skills are also essential for this role.

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:
Generative Ai Strategist jobs near you
Infographic showing various Generative Ai Strategist job openings in Raleigh, NC as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $135,962 per year, or $65.4 per hour.

Principal Product Manager

NetApp

Morrisville, NC • On-site

$228K - $325K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 16 days ago

NetApp rating

9.4

Company rating: 9.4 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

2nd of 485 rated business services

Job description

Job Summary

The NetApp's Cloud Storage & Services division is responsible for delivering industryleading storage and data platforms that power missioncritical enterprise workloads. Our portfolio spans cloud storage services, deep integrations with hyperscaler AI/ML ecosystems, and AInative services that enable Fortune 500 customers to operationalize data and AI across hybrid and public cloud environments. 

We are seeking a Principal Product Manager - the most senior individual contributor product role at NetApp - to define and drive the longterm strategy, architecture, and execution of generative and agentic AI platforms. This role is reserved for a recognized product leader who operates with companylevel strategic impact, demonstrates deep technical credibility, and shapes outcomes across multiple teams, product lines, and executive stakeholders. 

As a Principal PM, you will set the multiyear vision for AIpowered services built on NetApp's data infrastructure, guide complex crossportfolio initiatives, and serve as a thought leader for enterprisegrade agentic systems, LLMbased platforms, and AIdriven user experiences. While this is an individual contributor role, your influence will extend broadly across engineering, research, design, gotomarket, field teams, partners, and executive leadership. 

Responsibilities

AI strategy & roadmap 

  • Own end-to-endAI strategyfor ANF: problem selection, success metrics, phased delivery, and competitive positioning vs. other Azure and AI-native storage options. 
  • Prioritize investments acrossperformance,scale,data services,protocol and API surfaces, andoperational excellencefor AI pipelines. 

Workload-led product definition 

Drive requirements for AI-centric scenarios, including: 

  • Training and inference data planes (high throughput, low latency, checkpointing, bursty I/O) 
  • RAG and enterprise search (datasets, versioning, clones, refresh patterns) 
  • Agentic workflows and orchestration (durable shared state, tool/data access patterns-where productized responsibly) 
  • Large multimodal and enterprise datasets (governance, access control, lifecycle) 
  • Analytics and simulation adjacencies (HPC/EDA-style throughput, shared filesystem semantics) 

Hyperscaler & ecosystem partnership 

  • Partner withMicrosoftteams acrossAzure AI / Foundry,Azure Machine Learning,AKS / container platforms,GPU infrastructure,data/analytics(e.g. Databricks-style patterns on Azure), and core Azure storage/networking dependencies. 
  • Align ANF's AI story withAzure-wide AI dataguidance and reference architectures, and feedreal customer workload evidenceback into joint planning. 

Cross-functional leadership 

  • Lead acrossengineering, product marketing, sales, customer success, and professional servicesto ship capabilities and repeatablereference architectures / proof points. 
  • Engagestrategic customersanddesign partnersto validate pain, quantify value, and de-risk roadmap bets. 

Market intelligence & evangelism 

  • Monitor AI infrastructure trends (models, frameworks, orchestration, data formats) and competitor moves; translate intodifferentiated bets. 
  • Represent ANF as acredible technical executivein briefings, advisory councils, and industry forums. 

Industry segmentation 

  • Tailor AI storage strategy for segments where file semantics and performance matter, for example:semiconductor/EDA,manufacturing,healthcare imaging,financial services,energy,media & entertainment, andHPC/simulation-including compliance and data residency realities. 
Job Requirements
  • 15+ years of product management experience, including ownership of largescale, enterprisegrade platforms or cloud services. 
  • Proven track record of defining and scaling AIpowered products, with handson experience in:  
  • Generative AI and large language models 
  • Agentic systems and autonomous workflows 
  • RetrievalAugmented Generation (RAG) 
  • Model orchestration, evaluation, and lifecycle management 
  • Enterprise data platforms, vector databases, search, and knowledge graphs 
  • Demonstrated ability to operate at both strategic and deeply technical levels, bridging executive vision and architectural detail. 
  • History of influencing VP and Clevel stakeholders through clear product strategy, storytelling, and datadriven decisionmaking. 
  • Exceptional written and verbal communication skills, with the ability to articulate complex AI concepts to diverse audiences. 
  • Strong business judgment, systems thinking, and comfort navigating ambiguity at scale. 
Education
  • MBAor advanced degree inCS/Engineering(helpful, not a substitute for demonstrated technical depth). 

Compensation:
The target salary range for this position is $228,000 - $325,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU's), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process. 

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