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Generative Ai Instructor information

What does a Generative AI Instructor do?

A Generative AI Instructor is responsible for teaching individuals or groups about generative artificial intelligence technologies, such as machine learning models that create new content (text, images, audio, etc.). They design curriculum, lead workshops, and provide hands-on demonstrations to help students understand how to build, fine-tune, and deploy generative AI models. Additionally, they stay updated on the latest advancements in AI and help learners understand ethical considerations and real-world applications of generative AI.

What are some common challenges Generative AI Instructors face when teaching complex concepts to diverse learners?

Generative AI Instructors often encounter the challenge of breaking down advanced machine learning and artificial intelligence concepts into digestible lessons for students with varying backgrounds. Balancing the technical depth required for industry relevance with accessibility for beginners requires flexible teaching strategies and strong communication skills. Additionally, keeping course materials up-to-date with the rapidly evolving AI landscape is essential, which means instructors must continually learn and adapt their curriculum. Collaboration with peers and industry professionals is common to ensure content accuracy and relevance.

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

To thrive as a Generative AI Instructor, you need a deep understanding of machine learning, natural language processing, and AI concepts, often supported by a degree in computer science or a related field. Familiarity with tools like Python, TensorFlow, PyTorch, and platforms such as Jupyter Notebook is typically required, along with experience using generative AI frameworks and models. Strong communication, adaptability, and the ability to simplify complex topics for diverse learners are important soft skills in this role. These skills ensure effective teaching, empower students to grasp advanced AI concepts, and keep coursework relevant in a fast-evolving field.

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

AspectGenerative Ai InstructorData Scientist
Required CredentialsAI/ML certifications, teaching experienceStatistics, programming, data analysis degrees
Work EnvironmentEducational settings, online platformsResearch labs, tech companies, finance
Employer & Industry UsageEdTech, training programsTech firms, finance, healthcare

While both roles involve AI expertise, a Generative Ai Instructor primarily focuses on teaching and training others in generative AI techniques, often within educational or training environments. In contrast, a Data Scientist analyzes data to derive insights and build models across various industries. Both roles require strong technical skills, but their core responsibilities and work settings differ significantly.

More about Generative Ai Instructor jobs
What cities are hiring for Generative Ai Instructor jobs? Cities with the most Generative Ai Instructor job openings:
What states have the most Generative Ai Instructor jobs? States with the most job openings for Generative Ai Instructor jobs include:
Infographic showing various Generative Ai Instructor job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.
Technical AI Instructor and Forward-Deployed Engineer III

Technical AI Instructor and Forward-Deployed Engineer III

Deloitte

Seattle, WA • On-site

Other

Posted 12 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Technical AI Instructor and Forward-Deployed Engineer III

We are seeking a highly skilled and passionate individual to join our team as a Technical AI Instructor and Forward-Deployed Engineer III. This role involves teaching technical AI skills, engaging in early-stage engineering work, and incubating innovative products from concept to code. The position will have both client-facing responsibilities and an internal enablement component.

Recruiting for this role ends on June 15, 2026

Work you'll do

As a Technical AI Instructor and Forward-Deployed Engineer III, you will be responsible for...

  • Shaping and leading early-stage product development and product incubation projects with a focus on rapid prototyping using cutting edge generative AI tools.
  • Supporting our teams by teaching them to use and implement the tools, frameworks and patterns needed for rapid prototyping with generative AI.
  • Teaching Technical AI Skills: Develop and deliver comprehensive training programs on generative AI technologies, including tools such as GitHub Copilot, Cursor, Replit, Airtable, and platforms like OpenAI, Anthropic, and Gemini. Tailor content to various skill levels and ensure practical, hands-on learning experiences for designers, engineers, and product managers.
  • Early-Stage Forward-Deployed Engineering: Collaborate with cross-functional teams to design and implement AI solutions for real-world problems. Engage in rapid prototyping and iterative development to validate concepts and refine solutions.'
  • Product Incubation: Lead the incubation of new AI products, from ideation to deployment. Work closely with product managers, designers, and engineers to bring innovative ideas to life and ensure successful product launches.
  • Client-Facing and Internal Enablement: Serve as a key point of contact for clients, providing expert guidance and support on AI initiatives. Additionally, enable internal teams by sharing knowledge, best practices, and facilitating collaboration.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to lead projects or workstreams
  • Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines

The Team

Deloitte's Advertising, Marketing & Commerce team creates content and experiences that inspire action. We design and implement technology platforms for personalized marketing across all digital touchpoints, specializing in customer-centric B2B and B2C solutions. Our in-house agency engages customers throughout their journey, working on projects like AdTech, MarTech, campaign automation, CRM, and lead-to-loyalty orchestration. Join us to drive impactful customer interactions and business growth. 

Qualifications

Required

  • Bachelor's degree.
  • 2+ years experience in AI, machine learning, and/or data science.
  • 2+ years experience with generative AI tools for software development, user experience, design, and product management.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Ability to travel up to 50% on average based on the work you do and the clients and industries/sectors you serve

Preferred

  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Knowledge of software development best practices and agile methodologies.
  • Familiarity with product management and user experience design principles.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $110,700 to $218,300

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#Customer_US

#AMC_US

Qualifications:

Technical AI Instructor and Forward-Deployed Engineer III

We are seeking a highly skilled and passionate individual to join our team as a Technical AI Instructor and Forward-Deployed Engineer III. This role involves teaching technical AI skills, engaging in early-stage engineering work, and incubating innovative products from concept to code. The position will have both client-facing responsibilities and an internal enablement component.

Recruiting for this role ends on June 15, 2026

Work you'll do

As a Technical AI Instructor and Forward-Deployed Engineer III, you will be responsible for...

  • Shaping and leading early-stage product development and product incubation projects with a focus on rapid prototyping using cutting edge generative AI tools.
  • Supporting our teams by teaching them to use and implement the tools, frameworks and patterns needed for rapid prototyping with generative AI.
  • Teaching Technical AI Skills: Develop and deliver comprehensive training programs on generative AI technologies, including tools such as GitHub Copilot, Cursor, Replit, Airtable, and platforms like OpenAI, Anthropic, and Gemini. Tailor content to various skill levels and ensure practical, hands-on learning experiences for designers, engineers, and product managers.
  • Early-Stage Forward-Deployed Engineering: Collaborate with cross-functional teams to design and implement AI solutions for real-world problems. Engage in rapid prototyping and iterative development to validate concepts and refine solutions.'
  • Product Incubation: Lead the incubation of new AI products, from ideation to deployment. Work closely with product managers, designers, and engineers to bring innovative ideas to life and ensure successful product launches.
  • Client-Facing and Internal Enablement: Serve as a key point of contact for clients, providing expert guidance and support on AI initiatives. Additionally, enable internal teams by sharing knowledge, best practices, and facilitating collaboration.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to lead projects or workstreams
  • Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines

The Team

Deloitte's Advertising, Marketing & Commerce team creates content and experiences that inspire action. We design and implement technology platforms for personalized marketing across all digital touchpoints, specializing in customer-centric B2B and B2C solutions. Our in-house agency engages customers throughout their journey, working on projects like AdTech, MarTech, campaign automation, CRM, and lead-to-loyalty orchestration. Join us to drive impactful customer interactions and business growth. 

Qualifications

Required

  • Bachelor's degree.
  • 2+ years experience in AI, machine learning, and/or data science.
  • 2+ years experience with generative AI tools for software development, user experience, design, and product management.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
  • Ability to travel up to 50% on average based on the work you do and the clients and industries/sectors you serve

Preferred

  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Knowledge of software development best practices and agile methodologies.
  • Familiarity with product management and user experience design principles.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $110,700 to $218,300

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#Customer_US

#AMC_US

Education:Bachelor's DegreeEmployment Type:

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