Technical AI Instructor and Forward-deployed Engineer (consultant)

This role focuses on teaching technical AI skills, engaging in early-stage engineering, and incubating innovative AI products. It involves rapid prototyping with generative AI tools and enabling both clients and internal teams.

What you'd actually do

  1. 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.
  2. 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.
  3. 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.
  4. 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.

Skills

Required

  • 1+ years experience in AI, machine learning, and/or data science.
  • Experience with generative AI tools for software development, user experience, design, and product management.
  • Ability to travel up to 50% on average based on the work you do and the clients and industries/sectors you serve

Nice to have

  • 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.
  • Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.

What the JD emphasized

  • generative AI tools for software development, user experience, design, and product management

Other signals

  • teaching technical AI skills
  • early-stage engineering work
  • incubating innovative products
  • rapid prototyping using cutting edge generative AI tools