Developer / Trainer – AI Enablement Lead
About The Position
This role involves designing and delivering hands-on AI training for software engineers, architects, and technical teams. The Developer/Trainer – AI Enablement Lead will develop AI curriculum, workshops, labs, demos, facilitator guides, and reusable learning materials. The position focuses on teaching practical AI usage throughout the software development lifecycle, including coding, testing, debugging, documentation, and code review. The role also includes facilitating live workshops, bootcamps, hackathons, and internal technical enablement sessions, while collaborating with various engineering and product teams. A key aspect is promoting responsible, secure, and effective AI adoption. The individual will create prompt libraries, technical playbooks, reference examples, and reusable patterns, and will be responsible for gathering learner feedback to continuously improve training content. Staying current with AI coding assistants, LLMs, agentic workflows, and enterprise AI best practices is essential. The role also involves advising on AI model selection, implementation strategy, and token/cost management.
Requirements
- Bachelor's degree or equivalent experience.
- 5+ years of experience in software engineering, solution architecture, DevOps, platform engineering, developer relations, or technical enablement.
- Hands-on experience with AI-assisted development tools and workflows.
- Experience designing and delivering technical training.
- Strong understanding of the SDLC.
- Knowledge of responsible AI, security, privacy, and governance.
Nice To Haves
- Strong technical credibility with software engineering or solution architecture experience.
- Excellent presentation, facilitation, and communication skills.
- Ability to explain complex AI concepts to technical and non-technical audiences.
- Hands-on approach to training through demos and practical exercises.
- Passion for developer enablement and enterprise AI adoption.
- Ability to balance innovation with responsible AI governance.
- GitHub Copilot, OpenAI Codex, Claude Code, AWS Kiro, prompt engineering, RAG, LLMs, APIs, cloud platforms, DevSecOps, Agile.
Responsibilities
- Design and deliver hands-on AI training for software engineers, architects, and technical teams.
- Develop AI curriculum, workshops, labs, demos, facilitator guides, and reusable learning materials.
- Teach practical AI usage across the software development lifecycle, including coding, testing, debugging, documentation, and code review.
- Facilitate live workshops, bootcamps, hackathons, and internal technical enablement sessions.
- Collaborate with engineering, architecture, cybersecurity, cloud, data, and product teams.
- Promote responsible, secure, and effective AI adoption across engineering teams.
- Create prompt libraries, technical playbooks, reference examples, and reusable patterns.
- Gather learner feedback and continuously improve training content.
- Stay current with AI coding assistants, LLMs, agentic workflows, and enterprise AI best practices.
- Advise on AI model selection, implementation strategy, and token/cost management.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
