AI Developer Enablement Lead

Remote • Posted 4 hours ago • Updated 4 hours ago
Full Time
Remote
Fitment

Dice Job Match Score™

⏳ Almost there, hang tight...

Job Details

Skills

  • Network Layer
  • Prompt Engineering
  • Fluency
  • Software Development Methodology
  • Reporting
  • User Experience
  • Software Engineering
  • GitHub
  • Mentorship
  • Training
  • Facilitation
  • Software Development
  • Code Review
  • Continuous Integration
  • Continuous Delivery
  • Testing
  • Sprint
  • Writing
  • Technical Writing
  • Workflow
  • Management
  • Communication
  • Virtual Team
  • Collaboration
  • English
  • Artificial Intelligence
  • LangChain
  • Orchestration
  • Coaching
  • SaaS

Summary

We are seeking an AI Developer Enablement Lead to drive AI adoption across engineering teams. This role operates through direct coaching, structured workshops and open office hours, building AI fluency at the team level and creating the internal champions needed to sustain L3 adoption beyond the engagement. Responsibilities Run 1:1 AI coaching sessions with engineering champions across the production teams Facilitate team-level workshops on Agentic AI Delivery Framework usage, prompt engineering and agentic workflow adoption Host recurring office hours for developers to troubleshoot, experiment and deepen AI tool fluency Deliver masterclass content in mid-June (Prompt and context engineering, BMAD for SDLC, How to build custom AI-Augmented agents and workflows) Identify and nurture internal AI champions within engineering teams Track enablement progress and report on adoption metrics (usage, workflow coverage, time saved) Collaborate with AI Coach Product/UX on cross-role enablement initiatives Create and maintain a library of Agentic AI Delivery Framework workflow examples, how-to guides and best practices for engineering Requirements 5+ years in software engineering, with recent hands-on experience using AI coding assistants (GitHub Copilot, Cursor, Codeium or equivalent) Skills in coaching, mentoring or training facilitation, with experience enabling peers or teams preferred Understanding of software development workflows (code review, CI/CD, testing, sprint rituals) Capability to explain complex AI/LLM concepts to engineers at varying experience levels Background in writing clear technical documentation and workflow guides Self-directed and comfortable in ambiguous, rapidly evolving consulting environments Proficiency in async communication for distributed team collaboration English proficiency at B2 level or higher Nice to have Familiarity with Agentic AI Delivery Framework, LangChain or CrewAI and other agent orchestration frameworks Background in developer relations, technical education or engineering coaching Experience in a high-growth SaaS engineering environment
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10330481
  • Position Id: 3877d53c8b7720c84dd80dead63bdf94
  • Posted 4 hours ago
Create job alert
Set job alertNever miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Remote

Today

Easy Apply

Full-time

$80000.00 - $90000.00 per annum

Remote

Today

Full-time

USD 216,000.00 - 260,000.00 per year

Remote

18d ago

Easy Apply

Full-time

170,000 - 2,00,000

Remote

3d ago

Easy Apply

Contract, Third Party

Depends on Experience

Search all similar jobs