About this role
This role addresses the need for expert instruction in current and emerging AI domains. The team builds and scales high-quality training programs focused on Applied AI, Agentic AI, and Generative AI for enterprise and academic clients. The AI Academy Trainer is central to this effort, responsible for translating complex technical knowledge into effective learning experiences. This position exists to ensure that clients and students gain practical, up-to-date skills in leveraging modern AI technologies.
The successful candidate will focus heavily on training delivery, developing curriculum materials, and supporting sales efforts by providing technical solutioning. They will design hands-on workshops and bootcamps while also contributing to the overall catalog of AI courses. This role is ideal for an experienced educator who can bridge the gap between deep technical knowledge and accessible teaching methods.
An ideal candidate possesses a strong background in both AI/ML implementation and professional training. They must be adept at communicating complex subjects clearly to diverse audiences, making them crucial for driving adoption of AI skills within client organizations and educational institutions.
What you will do
- Deliver instructor-led training sessions, both virtual and in-person, covering Artificial Intelligence, Agentic AI, and Generative AI.
- Develop and maintain comprehensive training modules, labs, and assessments for various AI courses.
- Translate intricate technical concepts into materials that are easily understood by learners.
- Conduct customized corporate workshops, hackathons, and upskilling sessions.
- Support sales teams by scoping client AI training requirements and providing thought leadership during solutioning.
- Enhance the training portfolio by introducing new formats like hands-on labs and real-world case studies.
- Collaborate with subject matter experts and academic partners to align curriculum content.
What you need
- Possess 8 to 12 years of total experience in AI/ML, software engineering, or data-related fields.
- Must have a minimum of 4 to 6 years of experience functioning as a corporate trainer, instructor, or technical educator.
- Require 2 to 3 years of hands-on experience building AI/ML or GenAI-based solutions in industry, consulting, or project work.
- Demonstrate a proven track record of successfully delivering technical training to both enterprise and university audiences.
- Must have a strong foundation in AI/ML concepts, LLMs, prompt engineering, and GenAI workflows.
- Should have a working understanding of Agentic AI, including frameworks such as LangChain or tools like OpenAI API.
- Proficiency in Python and core AI/ML libraries like PyTorch or TensorFlow is required.
- Must be able to build and demonstrate hands-on labs and real-world examples using cloud platforms like Azure, AWS, or GCP.
Nice to have
- Experience developing structured learning journeys or training paths for enterprises.
- Certifications in AI/ML, cloud AI services, or instructional design.
- Experience participating in RFPs for learning programs.
Benefits
- United States location
Skills and tech stack
Questions candidates ask
What is the primary focus of the role?
The primary focus is on training delivery, which accounts for 60–70% of the time. This involves conducting instructor-led training on AI, Agentic AI, and Generative AI. The role also involves curriculum development and supporting presales conversations.
What technical skills are essential for this position?
Candidates need a strong foundation in AI/ML concepts, LLMs, prompt engineering, and GenAI workflows. Proficiency with Python and AI/ML libraries such as PyTorch or TensorFlow is necessary. Experience with Agentic AI frameworks like LangChain or tools like the OpenAI API is also required.
What is the expected level of experience in AI/ML implementation?
The role requires a minimum of 2 to 3 years of hands-on experience building AI/ML or GenAI-based solutions. Overall, the ideal candidate should have 8 to 12 years of total experience in AI/ML, software engineering, or data-related fields.
What is the team structure like?
The role involves collaboration with internal SMEs and academic partners for curriculum alignment. The position also requires interaction with sales teams to scope client needs and provide thought leadership during client discussions.