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Generative Ai Director Jobs (NOW HIRING)

Passion for Being Great The AI Director will lead practical AI adoption across the organization by ... The role requires practical understanding and application of generative AI, RAG, grounding ...

Passion for Being Great The AI Director will lead practical AI adoption across the organization by ... The role requires practical understanding and application of generative AI, RAG, grounding ...

AI Director

Reston, VA · On-site

$150 - $200/hr

The director will lead FS-ISAC's internal and external efforts to define, shape, and operationalize ... generative AI tools and AI‑assisted platforms, with the ability to apply AI effectively in a ...

Our partner is looking for an AI Director - Machine Learning based in Netherlands. This role offers ... Identify opportunities to integrate generative AI technologies across production processes and ...

As a software engineer, generative ai at WRITER, you'll be at the forefront of expanding human ... You'll report to an engineering director or a senior engineering manager. * We are open to hiring ...

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Generative Ai Director information

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.

How much does a director of generative AI make?

A director of generative AI typically earns between $150,000 and $250,000 annually, depending on experience, industry, and location. Senior roles may include bonuses, stock options, or other incentives, and strong expertise in machine learning, deep learning, and AI tools is often required.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a Generative AI Director or senior executive role, with compensation including salary, bonuses, and stock options reaching or exceeding that amount annually. These roles often require extensive experience in AI development, leadership skills, and expertise with tools like machine learning frameworks and large language models.

What is the salary of generative AI manager?

The salary of a Generative AI Manager typically ranges from $120,000 to $180,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in machine learning and deep learning may earn higher compensation, often supplemented with bonuses and stock options.

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

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.

Which 3 jobs will survive AI?

For a Generative AI Director, roles that require complex human judgment, creativity, and emotional intelligence are likely to persist, such as senior management, strategic planning, and specialized creative positions. These jobs involve overseeing AI implementation, ethical considerations, and high-level decision-making that AI cannot fully replicate. Skills in leadership, domain expertise, and understanding of AI tools will remain valuable in these roles.

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 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.
More about Generative Ai Director jobs
What cities are hiring for Generative Ai Director jobs? Cities with the most Generative Ai Director job openings:
What are the most commonly searched types of Generative Ai jobs? The most popular types of Generative Ai jobs are:
What states have the most Generative Ai Director jobs? States with the most job openings for Generative Ai Director jobs include:
Infographic showing various Generative Ai Director job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

AI Director

Alliance Franchise Brands

Plymouth, MI • On-site

Full-time

Re-posted 2 hours ago


Job description

Who We Are

Alliance Franchise Brands LLC is the franchisor of approximately 600 locations across North America operating the company’s brands: Allegra Marketing Print Mail, Image360, Signs Now, Signs By Tomorrow, KKP, Insty-Prints, American Speedy Printing Centers, and True Install.


Our independently owned and operated Franchise Members provide businesses and organizations with a one‑stop resource for technologically advanced solutions in printing, signage, marketing, and graphics communications.


Our Core Focus & Values

At Alliance Franchise Brands, our Core Focus and Core Values serve as the foundation for how we operate and who we are. They are embedded into our culture and guide how we support Franchise Members, collaborate internally, and deliver impact every day.


Core Focus

OUR PASSION: Empowering Success

OUR NICHE: High‑Impact Programs and Support


Core Values

  • Members First
  • Ethical & Trustworthy
  • Can‑Do, Results Driven
  • Respect Others
  • Passion for Being Great


The AI Director will lead practical AI adoption across the organization by identifying high-value use cases, piloting AI-enabled workflows, managing approved AI tools, supporting responsible use, and scaling solutions that deliver measurable business value.

This is a hands-on leadership role. The right candidate must be technically credible and willing to work directly with AI tools, business users, vendors, and technical teams. The role requires practical understanding and application of generative AI, RAG, grounding, cognitive search, AI-assisted workflows, and responsible data use.

Essential functions

  • Develop and maintain a 6-18 month living AI roadmap aligned with strategic priorities.
  • Maintain visibility into AI tool usage, token budgeting, adoption, risks and outcomes throughout the enterprise.
  • Work directly with Franchise Members, field teams, and leadership to identify practical and high-impact AI opportunities.
  • Focus on pragmatic use cases such as customer intake, estimating support, marketing assistance, knowledge retrieval, process coordination and customer communication.
  • Create playbooks, templates, training materials, and adoption plans that scale across proficiency stages.
  • Partner with corporate teams to identify and deploy AI solutions that improve internal efficiency, decision-making, and service delivery to franchisees.
  • Convert successful pilots into scalable, repeatable solutions with centralized support.
  • Support a network of AI champions across brands, departments, and Franchise Member groups.


Competencies

  • Strong empathy for small business concerns and the realities of running a local business.
  • Comfortable working in a test-and-learn/fail-fast environment with iteration and continuous improvement.
  • Experience with vendor evaluation, SaaS tools, cost tracking or technology budgeting.
  • Strong communication skills; able to translate technical concepts into clear, practical language.
  • Able to manage ambiguity, make recommendations, and move work forward.


Supervisory responsibilities

  • Coaches, mentors, and leads others to influence high performance.
  • Manage team including semi-annual performance reviews
  • Conduct team’s regular EOS meetings

Work environment

  • Professional corporate and team-oriented environment
  • Hybrid work schedule with at least 2 days each week in office

Physical demands

  • Prolonged periods sitting at a desk and working on a computer
  • Must be able to lift up to 15 pounds at times
  • Standard business hours although some overtime may be required to meet deadlines or manage unexpected issues


Travel required

  • Minimal travel, less than 10%

Required education and experience

  • Bachelor’s degree in Business, Information Systems, Engineering, or a related field (or equivalent practical experience).
  • 7+ years of progressive experience in operations, technology, or a related field, and 2+ years of experience applying AI tools or solutions in a business setting.
  • Significant experience in operations, logistics, or multi-unit/franchise environments.
  • Experience in multi-model orchestration (SLM, LLM, Frontier).
  • Working knowledge of generative AI, agents, enterprise search, RAG, grounding, prompt design, automation, and responsible AI use.
  • Experience with Microsoft Copilot, Azure AI Foundry, Azure AI Search, Power Platform, Microsoft 365, Claude, ChatGPT, or similar AI tools.


Preferred education and experience

  • Experience integrating business systems such as CRM, MIS/ERP, and online platforms
  • Familiarity with data governance and data privacy principles.

Other duties

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.