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Generative Ai Director Jobs (NOW HIRING)

... directed behavior. The intern will explore applications of Agentic and Generative AI in healthcare, supporting improvements in treatment, payment, and operations. You will play a key role in ...

Job Summary We are seeking an experienced and hands‑on Director to lead the strategy ... Lead the evaluation and adoption of generative AI tools, identifying high‑impact opportunities ...

Director, AI/ML Engineering

Richmond, VA · On-site

$181K - $290K/yr

Director, AI/ML Engineering About this job CarMax is looking for a Director, AI/ML Engineering to ... Lead the adoption of generative AI technologies (including large language models and multimodal AI ...

Responsibilities Apply relevant AI and machine learning techniques to build and launch generative ... to direct team as well as relevant cross-functional teams • Create clear and concise ...

Director, AI/ML Engineering About this job CarMax is looking for a Director, AI/ML Engineering to ... Lead the adoption of generative AI technologies (including large language models and multimodal AI ...

Director, AI/ML Engineering About this job CarMax is looking for a Director, AI/ML Engineering to ... Lead the adoption of generative AI technologies (including large language models and multimodal AI ...

Director, AI/ML Engineering About this job CarMax is looking for a Director, AI/ML Engineering to ... Lead the adoption of generative AI technologies (including large language models and multimodal AI ...

Monks is building a talent pool for an AI Craft Director to pioneer AI-enabled creative workflows at the intersection of filmmaking, generative AI, and immersive systems, reporting to the Head of ...

New

GenAI Art Director Overview We are seeking an AI-native Art Director to lead the development of ... Generative AI Image Creation & Process Development * Personally generate and prompt engineer ...

Stay informed on emerging trends in generative AI, creative technology, and digital production ... A successful Creative Director will: * Help shape the evolution of HOME by bringing a creative ...

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Generative Ai Director information

What does a Generative AI Director do?

A Generative AI Director leads teams in developing and deploying artificial intelligence models that create new content, such as text, images, or music. They oversee the strategic vision, project management, and ethical considerations of generative AI initiatives. This role often involves collaborating with data scientists, engineers, and business leaders to ensure AI solutions align with organizational goals and comply with industry standards. Additionally, the Generative AI Director stays up to date with the latest advancements in AI research and guides the integration of cutting-edge technologies into products and services.

What are the key skills and qualifications needed to thrive as a Generative AI Director?

To thrive as a Generative AI Director, you need deep expertise in AI/ML algorithms, experience leading technical teams, and an advanced degree in computer science or a related field. Proficiency with machine learning frameworks (such as TensorFlow or PyTorch), cloud platforms, and familiarity with data privacy standards and relevant certifications (like AWS Certified Machine Learning) are highly valued. Strong leadership, strategic vision, and effective communication skills help drive innovation and align cross-functional teams. These skills are crucial for successfully managing complex AI initiatives, ensuring ethical deployment, and maintaining a competitive edge in a rapidly evolving field.

What are the typical challenges faced by a Generative AI Director when leading cross-functional teams?

As a Generative AI Director, one common challenge is aligning diverse teams—such as data scientists, software engineers, product managers, and designers—toward a unified vision for AI-driven solutions. Balancing innovation with ethical considerations and regulatory compliance is also critical, especially as generative AI evolves rapidly. Additionally, fostering continuous learning while managing stakeholder expectations and resource constraints requires strong leadership, clear communication, and strategic prioritization.

What is the difference between Generative Ai Director vs Data Scientist?

AspectGenerative Ai DirectorData Scientist
Required CredentialsAdvanced degrees in AI, Computer Science, or related fields; leadership experienceBachelor's or Master's in Data Science, Statistics, or related fields; technical skills
Work EnvironmentLeadership roles overseeing AI projects, strategic planning, cross-team collaborationData analysis, model development, statistical modeling, coding
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, e-commerce, research organizations

While both roles involve AI and data, the Generative Ai Director focuses on leading AI initiatives and strategic oversight, whereas the Data Scientist concentrates on data analysis and model development. The Director role typically requires more leadership experience and a broader understanding of AI applications.

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Infographic showing various Generative Ai Director job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution.

Intern - Generative AI/Agentic AI/Research

Cotiviti

Remote

$32 - $40/hr

Internship

Re-posted 7 days ago


Cotiviti rating

8.3

Company rating: 8.3 out of 10

Based on 33 frontline employees who took The Breakroom Quiz

51st of 224 rated it services


Job description

Overview

This internship centers on researching and developing advanced healthcare informatics solutions with a specialization in Agentic AI-AI systems capable of autonomous reasoning, decision-making, and goal-directed behavior. The intern will explore applications of Agentic and Generative AI in  healthcare, supporting improvements in treatment, payment, and operations. You will play a key role in developing, analyzing, and collaborating on agentic AI projects, and work closely with cross-functional teams to drive innovative research and practical implementation in healthcare environments.

Responsibilities

Technical Expertise

  • Demonstrates a strong understanding of technology trends, research, and emerging technologies relevant to the healthcare industry, particularly in Generative AI.
  • Assists in developing and improving LLMs and ML tools used across the organization.
  • Assists in establishing and maintaining an Artificial Intelligence Governance Program.
  • Gain hands-on experience in generative AI model development, architecture design, and database management.
  • Conduct research on Agentic AI models and their potential impact on healthcare workflows and decision-making.
  • Assist in designing, developing, and testing autonomous AI agents and generative AI systems tailored for healthcare informatics.
  • Support efforts to establish and maintain an Artificial Intelligence Governance Program with a focus on agentic AI ethics and safety.

Communication & Collaboration

  • Communicates technology-related updates and requirements to other departments and contributes to presentations for senior management.
  • Collaborates with research and development teams, product management, and strategic analysts to support ongoing projects.

Leadership & Management

  • Partners with Business Units to provide reliable intelligence, validated technology options, and insights on enterprise and industry trends.
  • Supports technology project teams by coordinating specific tasks, assisting with day-to-day operations, and contributing to the successful delivery of solutions.
  • Assists in collaborative efforts with academic research teams, practicums, internships, and vendor POCs.

External Relationships & Partnerships

  • Supports vendor evaluations and contributes to collaborations with vendors.
  • Assists as a liaison between academic institutions, professional organizations, and research groups as needed.

Other

  • Complete all responsibilities and goals outlined in the internship program.
  • Complete all special projects and other duties as assigned.
  • Must be able to perform duties with or without reasonable accommodation.

This job description is intended to describe the general nature and level of work being performed in this internship. It is not an exhaustive list of responsibilities, duties, and skills required and does not constitute an employment agreement. This job description is subject to change as Cotiviti's needs and requirements of the internship evolve.

Qualifications
  • Currently pursuing or recently completed an advanced degree in healthcare, technology, or a related field (e.g., Biomedical Informatics, Computer Science, AI, etc.) with preference of a PhD.
  • Demonstrated interest or experience in AI, healthcare technology, or informatics research.
  • Strong foundational knowledge in generative AI model development, architectures, and vector databases.
  • Hands-on experience with working with Machine Learning and Deep Learning models. Experience with LLM/RAG models and LLM fine-tuning is a plus.
  • Hands-on experience working with cloud services (AWS/Azure), large data sets, and building data pipelines for ML solutions. Experience with vector embeddings and databases is a plus.
  • Ability to work collaboratively and communicate effectively with cross-functional teams.

Mental Requirements:

  • Communicating with others to exchange information.
  • Assessing the accuracy, neatness, and thoroughness of the work assigned.

Physical Requirements and Working Conditions:

  • Remaining in a stationary position, often standing or sitting for prolonged periods.
  • Repeating motions that may include the wrists, hands, and/or fingers.
  • Must be able to provide a dedicated, secure work area.
  • Must be able to provide high-speed internet access/connectivity and office setup and maintenance.
  • No adverse environmental conditions are expected.

Base compensation ranges from $32.00 to $40.00 per hour. Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. 

Nonexempt employees are eligible to receive overtime pay for hours worked in excess of 40 hours in a given week, or as otherwise required by applicable state law.

Date of posting: 4/15/2026

Applications are assessed on a rolling basis. We anticipate that the application window will close on 08/15/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected.

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Employment Type: OTHER

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