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Generative Ai Project Manager Jobs in Durham, NC

Strong experience managing complex client projects, preferably in Life Sciences R&D. * Strong understanding of AI/ML concepts and modern AI architectures, including Generative AI, foundation models ...

Strong experience managing complex client projects, preferably in Life Sciences R&D. * Strong understanding of AI/ML concepts and modern AI architectures, including Generative AI, foundation models ...

AI Engineer

Raleigh, NC ยท On-site

... managers to define project requirements, ensure technical feasibility, and integrate AI solutions seamlessly. Stay up to date on the latest advancements in generative AI research and actively ...

AI Engineer

Raleigh, NC ยท On-site

... managers to define project requirements, ensure technical feasibility, and integrate AI solutions seamlessly. Stay up to date on the latest advancements in generative AI research and actively ...

AI Engineer

Raleigh, NC ยท On-site

... managers to define project requirements, ensure technical feasibility, and integrate AI solutions seamlessly. Stay up to date on the latest advancements in generative AI research and actively ...

AI Engineer

Cary, NC ยท On-site

$110K - $150K/yr

Experience with Generative AI Large Language Models (LLMs), including solution development and fine ... Our range of expertise, project types, and culture make us the choice for top talent in the AEC ...

AI Engineer

Cary, NC ยท On-site

Experience with Generative AI Large Language Models (LLMs), including solution development and fine ... Our range of expertise, project types, and culture make us the choice for top talent in the AEC ...

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Generative Ai Project Manager information

See Durham, NC salary details

$37.2K

$99.2K

$156.5K

How much do generative ai project manager jobs pay per year?

As of Sep 6, 2026, the average yearly pay for generative ai project manager in Durham, NC is $99,222.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,900.00 and $118,900.00 per year, depending on experience, location, and employer.

What does a generative AI project manager do?

A Generative AI Project Manager oversees projects that involve the development and implementation of generative artificial intelligence solutions. Their responsibilities include coordinating teams of data scientists, engineers, and designers, managing project timelines and budgets, and ensuring that deliverables meet business objectives. They also facilitate communication between technical and non-technical stakeholders to ensure alignment and project success. Additionally, they stay updated on advances in AI technology to guide project direction and innovation.

What are the key skills and qualifications needed to thrive as a generative AI project manager?

To thrive as a Generative AI Project Manager, you need a solid understanding of AI/machine learning concepts, project management methodologies, and a relevant degree (such as computer science or engineering). Familiarity with tools like Jira, Agile frameworks, and AI platforms (e.g., TensorFlow, PyTorch) as well as certifications like PMP or Agile Scrum Master are highly beneficial. Strong leadership, communication, and problem-solving skills set outstanding candidates apart by enabling them to bridge technical and non-technical teams. These abilities are crucial for delivering AI projects on time, ensuring alignment with business goals, and adapting to rapidly evolving technology landscapes.

What are some unique challenges faced by generative AI project managers when overseeing cross-functional teams?

Generative AI Project Managers often encounter the challenge of bridging knowledge gaps between technical AI specialists, such as data scientists and engineers, and non-technical stakeholders, like product managers or business leaders. Coordinating clear communication and aligning project goals requires balancing rapid technological changes with business requirements, all while ensuring ethical and responsible AI development. Additionally, managing timelines can be complex due to the experimental nature of generative AI projects, which may involve iterative prototyping and unexpected roadblocks. Building trust and facilitating collaboration across diverse teams is key to project success.

What is the difference between Generative Ai Project Manager vs Data Scientist?

AspectGenerative Ai Project ManagerData Scientist
Required CredentialsProject management certifications, AI knowledgeDegree in Data Science, Computer Science, or related fields
Work EnvironmentCross-functional teams, project planningData analysis, model development
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, research institutions, analytics companies

While both roles involve AI, the Generative Ai Project Manager oversees AI projects, coordinating teams and timelines, whereas the Data Scientist focuses on analyzing data and building models. The project manager ensures project delivery, while the data scientist develops the AI models used within projects.

What are popular job titles related to Generative Ai Project Manager jobs in Durham, NC?

For Generative Ai Project Manager jobs in Durham, NC, the most frequently searched job titles are:

What cities near Durham, NC are hiring for Generative Ai Project Manager jobs?

Cities near Durham, NC with the most Generative Ai Project Manager job openings:

Infographic showing various Generative Ai Project Manager job openings in Durham, NC as of June 2026, with employment types broken down into 72% Full Time, 22% Part Time, and 6% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $99,222 per year, or $47.7 per hour.

Data Scientist - Generative AI Applications

AA2IT

Durham, NC โ€ข On-site

$52/hr

Full-time

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Job Title : Data Scientist - Generative AI Applications
Pay Rate: $52.00/HR
Location: 2 T.W.Alexander Drive, Durham NC

We are seeking an experienced Data Scientist to join our team, focusing on the development and deployment of Generative AI (GenAI) solutions in a commercial business setting. This role involves working with advanced technologies, including vector databases, Retrieval-Augmented Generation (RAG) approaches, and building end-to-end AI pipelines to deliver actionable insights and solutions to business challenges.

Job Description :

Responsibilities :

  • Model Development: Design, develop, and optimize RAG (Retrieval-Augmented Generation) models to facilitate effective information retrieval and generation aimed at solving complex business problems and enhancing the decision-making process.
  • Vector Database Management: Utilize vector databases and advanced indexing techniques to efficiently store and retrieve relevant information for conversational contexts.
  • LLM Fine-Tuning: Fine-tune and optimize large language models (LLMs).
  • NLP Techniques: Implement and experiment with cutting-edge NLP and similar techniques to enhance the capabilities and performance of our AI products.
  • Collaborate with cross-functional teams, including business units and platform/software engineers, to identify opportunities for integrating Generative AI models into production systems, ensuring scalability, reliability, and performance.
  • Stay up-to-date with the latest advancements in Generative AI and data science technologies.
  • Communicate findings and recommendations to stakeholders through clear and concise reports and presentations.

Qualifications :

  • Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
  • Proven experience in developing and deploying Generative AI models in business settings.
  • Strong programming skills in Python, R, or similar languages.
  • Experience with data manipulation and analysis using tools like SQL, Pandas, and NumPy.
  • Solid understanding of statistical analysis and data visualization techniques.
  • Excellent problem-solving skills and the ability to work independently and collaboratively.
  • Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.

Preferred Qualifications :

  • Experience with natural language processing (NLP) and computer vision applications.
  • Familiarity with cloud platforms such as Azure.
  • Experience in project management and leading data science initiatives.

Kindly share your resume with answers:
Q1: Which year you completed Master's or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
Q2 : How many years Proven experience in developing and deploying Generative AI models in business settings.
Q3: How many years of exp in Python, R, or similar languages.
Q4: How many years of Experience with data manipulation and analysis using tools like SQL, Pandas, and NumPy.
Q5: How far you live from 2 T.W.Alexander Drive, Durham NC and how will you commute