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

First Citizens Bank

Senior AI Architect

Raleigh, NC · On-site

This role combines strong hands-on engineering with strategic innovation to design, prototype, and ... Proven ability to design and scale large-language-model (LLM) and generative AI systems.

SAS

CI360 AI & Agentic AI Product Manager

Cary, NC · On-site

Define the CI360 agentic AI product strategy across MCP, AI assistants, autonomous workflows, and ... Experience with AI, generative AI, agentic AI, AI assistants, orchestration patterns, or multi ...

SAS

CI360 AI & Agentic AI Product Manager

Cary, NC · On-site

Define the CI360 agentic AI product strategy across MCP, AI assistants, autonomous workflows, and ... Experience with AI, generative AI, agentic AI, AI assistants, orchestration patterns, or multi ...

Gilead

Assoc Director, IT Data Engineering

Raleigh, NC · Hybrid

... AI strategy to speed life changing therapies to patients, we are seeking an Associate Director, AI Lead (D&A Digital Marketing) to lead the technical development and delivery of AI/ML and Generative ...

Gilead

Assoc Director, IT Data Engineering

Raleigh, NC · Hybrid

... AI strategy to speed life changing therapies to patients, we are seeking an Associate Director, AI Lead (D&A Digital Marketing) to lead the technical development and delivery of AI/ML and Generative ...

Lucid Software

Sr. Product Manager, AI

Raleigh, NC · On-site +1

$123K - $162K/yr

... of Generative AI? Are you drawn to work that is different every single day? If this is you, let ... Own AI platform capabilities & Evals from strategy through launch, working closely with Engineering ...

Lucid Software

Sr. Product Manager, AI

Raleigh, NC · On-site

$123K - $162K/yr

... of Generative AI? Are you drawn to work that is different every single day? If this is you, let ... Own AI platform capabilities & Evals from strategy through launch, working closely with Engineering ...

Peterson Ventures

Sr. Product Manager, AI

Raleigh, NC · On-site

$140 - $190/hr

... of Generative AI? Are you drawn to work that is different every single day? If this is you, let ... Own AI platform capabilities & Evals from strategy through launch, working closely with Engineering ...

RELX

Senior Data Scientist II

Raleigh, NC · Hybrid

$104K - $174K/yr

Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies). * Define agentic workflows and reasoning strategies for multi-step legal tasks. * Develop retrieval ...

TEKsystems

Principal Data Scientist

Raleigh, NC

$75 - $90/hr

S. customers, a generative AI solution designed to transform legal work. Their product delivers ... Mentor DS/ML engineers and contribute to long‑term AI strategy and architecture. Required ...

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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.

Senior AI Architect

First Citizens Bank

Raleigh, NC • On-site

Full-time

Re-posted 6 days ago

First Citizens Bank rating

7.4

Company rating: 7.4 out of 10

Based on 106 frontline employees who took The Breakroom Quiz

109th of 171 rated banks

Job description

Overview

The Senior AI Architect leads the design and implementation of cutting-edge AI platforms and data systems. This role combines strong hands-on engineering with strategic innovation to design, prototype, and deliver intelligent, data-driven solutions that power analytics, machine learning, and next-generation AI applications. This role collaborates closely with business and technology teams to turn ideas into working solutions, enabling faster insights, better decisions, and enterprise-wide innovation through data.


Responsibilities

Advanced AI Solutions & Engineering

  • Hands-on design and development of GenAI, LLM-based, and agentic AI solutions.
  • Architect and implement repeatable, enterprise AI patterns (e.g., RAG, agent orchestration, multimodal pipelines) with working reference implementations.
  • Build reusable AI components, templates, and accelerators to enable consistent adoption across teams.
  • Implement and optimize scalable, secure, and resilient AI pipelines, aligned with enterprise data and governance standards.
  • Lead PoC-to-production transitions, ensuring operational readiness, observability, and cost controls

AWS-Centric AI Architecture

  • Design AI and GenAI solutions using AWS-native services, including (but not limited to) Amazon Bedrock, SageMaker, Lambda, ECS/EKS, S3, DynamoDB, Aurora, OpenSearch, IAM, KMS, VPC, CloudWatch
  • Define cost, performance, and scalability guardrails for AI workloads on AWS.
  • Ensure architecture follows Well-Architected Framework principles.

Innovation & Applied AI

  • Lead initiatives to explore, validate, and scale emerging AI technologies.
  • Translate research and prototypes into production-ready capabilities.
  • Collaborate across teams to embed AI-driven insights and automation into business processes.
  • Evaluate and shape next-generation AI trends, including agentic systems and autonomous workflows.

Technology Leadership & Best Practices

  • Champion hands-on experimentation and rapid solution delivery while maintaining technical excellence.
  • Define and promote engineering standards that balance agility, scalability, and governance.
  • Collaborate with security, compliance, and governance partners to ensure responsible data and AI usage
  • Mentor engineers and architects in modern data and AI development practices.

Collaboration & Knowledge Sharing

  • Act as a trusted advisor for business and technology leaders on data-driven innovation.
  • Lead internal workshops and training sessions to accelerate AI adoption.
  • Represent the organization in external forums, conferences, and publications focused on data and AI innovation.

Qualifications

Bachelor's Degree and 6 years of experience in Enterprise data architecture, advanced data solutions, cloud platforms OR High School Diploma or GED and 10 years of experience in Enterprise data architecture, advanced data solutions, cloud platforms

Preferred Qualifications:

  • 10+ years of experience in enterprise data architecture or engineering with deep expertise in AI and cloud-native data platforms.
  • Proven ability to design and scale large-language-model (LLM) and generative AI systems.
  • Proficiency in Python, SQL, and modern data frameworks
  • Design AI and GenAI solutions using AWS-native services, including (but not limited to):Amazon Bedrock, SageMaker, Lambda, ECS/EKS
  • Experience with Snowflake Cortex AI, Snowflake Native AI capabilities
  • Strong background in distributed systems, and cloud architecture (AWS)
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
  • Relevant AWS certifications in cloud architecture, AI/ML, generative AI, or related domains
  • Experience with agentic AI design patterns, including tool-use orchestration, autonomous workflow agents, or AI copilots.
  • Proficiency in API design, microservices, and containerization (Docker, Kubernetes).
  • Demonstrated ability to rapidly prototype new AI concepts and transition successful PoCs into production-grade systems.

#LI-XG1

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Qualifications:

Bachelor's Degree and 6 years of experience in Enterprise data architecture, advanced data solutions, cloud platforms OR High School Diploma or GED and 10 years of experience in Enterprise data architecture, advanced data solutions, cloud platforms

Preferred Qualifications:

  • 10+ years of experience in enterprise data architecture or engineering with deep expertise in AI and cloud-native data platforms.
  • Proven ability to design and scale large-language-model (LLM) and generative AI systems.
  • Proficiency in Python, SQL, and modern data frameworks
  • Design AI and GenAI solutions using AWS-native services, including (but not limited to):Amazon Bedrock, SageMaker, Lambda, ECS/EKS
  • Experience with Snowflake Cortex AI, Snowflake Native AI capabilities
  • Strong background in distributed systems, and cloud architecture (AWS)
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
  • Relevant AWS certifications in cloud architecture, AI/ML, generative AI, or related domains
  • Experience with agentic AI design patterns, including tool-use orchestration, autonomous workflow agents, or AI copilots.
  • Proficiency in API design, microservices, and containerization (Docker, Kubernetes).
  • Demonstrated ability to rapidly prototype new AI concepts and transition successful PoCs into production-grade systems.

#LI-XG1

Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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