Principal AI Enablement Coach/Trainer

Position: Principal AI Enablement Coach/Trainer

Location: EST/CST timezone or Local to Chicago, IL

Length: 12+ month

Interview: Video

Visa: USC, GC, GC EAD

Notes:

• Remote or local to Chicago, IL
• Must provide Mailing address to be submitted
• Linkedin must match Resume, or resume will not be reviewed. No altered resumes or LI profiles!

Job Description:

Seeking a Principal AI-Native Enablement & Training Coach/Trainer to spearhead the Organizational Change Management (OCM) and technical upskilling mission for our engineering community. This role is designed for a veteran Full Stack Engineer who possesses the technical credibility to 'walk the walk' in a modern Java and React stack, while also serving as a visionary educator. You will be the primary architect of the 'Golden Path,' transitioning our developers from traditional manual coding to a sophisticated, AI-augmented 'Orchestration' model using Claude Code.

Job Duties:

• Develop Training Curricula: Architect and deliver comprehensive training program(s) that professionalize Claude Code proficiency by mastering context engineering, agentic lifecycle management, and iterative verification loops to ensure high-performance, cost-efficient AI integration.
• Lead the developer AI Transformation: Serve as the hands-on trainer and mentor for the developer community, facilitating the shift from manual execution to AI-driven orchestration. Lead through formal training, community led peer to peer sessions and other formats which foster developer engagement in the AI Transformation.
• Design Career Migration Paths: Collaborate with the other teams to develop role-specific journeys that show developers how their daily activities will evolve and flourish in an AI-augmented environment.
• Standardize AI Configuration: Train developers to understand and contribute to the proper use of .claudecode, CLAUDE.md, and skills to bake enterprise standards into the AI's persistent memory.
• Collaborate with Engineering Excellence & AI Governance: Work closely with AI Governance and Security teams to incorporate rules, regulations, and 'Dos and Don'ts' into the developer's daily IDE workflow. Help promote and increase adoption of enablement tools and services.
• Foster a Community of Practice: Establish and lead 'Office Hours,' workshops, and community forums to encourage peer-to-peer learning and mitigate institutional anxiety.
• Refine Requirements with AI: Teach Developers how to use Claude to enhance User Stories and Acceptance Criteria by injecting codebase-specific context.
• Manage Token Stewardship: Educate teams on disciplined token consumption and managing the 'cost of context' for performance efficiency.

Job Requirements:

• Full Stack Proficiency: Extensive experience with modern tech stacks. Java, Spring Boot, Web APIs, microservices, React a plus.
• Exceptional Communication & 'Teacher's Mindset': Must be a polished presenter capable of speaking to executive, technical and non-technical audiences. Establish credibility with Senior level developers through demonstrable real world knowledge.
• Polished Change Agent: Must have the emotional intelligence to manage the psychological transition of a large engineering org, moving them from 'hands-on-keyboard' execution to an 'AI-orchestration' identity without losing institutional morale.
• TDD & Quality Advocacy: A firm believer in 'Design-First' approaches; ability to teach developers how to correct AI output and implement automated quality gates.
• Enterprise Savvy: Comfortable navigating restricted environments, governance gates, and security restrictions common in large-scale organizations.
• Critical Thinking: Ability to balance the 'Technical ABCs' (the how) with the 'Strategic Why,' ensuring a resilient and adaptable workforce.

Skills:

• Cloud Native Skills: Experience with Kubernetes, Docker, and environment-specific configurations a plus.
• Custom Capability Development: Experience identifying where 'Custom Skills' or MCP (Model Context Protocol) servers are needed to give AI tools internal guardrails a plus.
• Training background or coaching is a strong bonus
• Principal-Level Technical Leadership: 15+ years of hands-on experience in the SDLC, with the ability to lead by example