AI Technical Coach

Job Summary (List Format): Principal AI Enablement & SDLC Transformation Lead

Role Overview:
- Lead organizational change and technical upskilling for the engineering community, focusing on AI-native development and SDLC transformation.
- Serve as a hands-on Full Stack Architect with expertise in both modern Java/React stacks and advanced AI tooling.
- Architect and champion the transition from manual coding to AI-augmented orchestration using tools such as Claude Code and Cursor.

Key Responsibilities:
- Develop and deliver comprehensive training curricula to professionalize AI-assisted development, with a focus on Claude Code proficiency and best practices.
- Act as hands-on trainer and mentor, leading the developer community through the shift to AI-driven development via multiple training formats.
- Design and implement career migration paths and role-specific journeys for developers in an AI-augmented environment.
- Standardize and teach enterprise-wide AI configuration practices (e.g., .claudecode, CLAUDE.md).
- Collaborate with AI Governance and Security to integrate compliance and best practices into daily workflows.
- Tailor training programs to support legacy system modernization and facilitate migration to modern architectures.
- Establish and lead communities of practice (e.g., office hours, workshops, forums) to foster peer learning and adoption.
- Teach developers to enhance user stories and requirements with AI-driven context.
- Educate teams on efficient token usage and cost management in AI operations.

Core Requirements:
- 15+ years of hands-on SDLC/architecture experience; background in Agile, Design Patterns, and Microservices.
- 2+ years of real-world experience in AI-native/AI-assisted development using tools like Claude Code, Cursor, or GitHub Copilot.
- Deep expertise in modern tech stacks (Java, Spring Boot, microservices, React) and modern databases (relational/NoSQL).
- Mastery of architectural orchestration and ability to frame problems for effective AI collaboration.
- Proficient in integrating AI workflows with DevOps, CI/CD pipelines, and cloud platforms (AWS/Azure/GCP).
- Expert in modern coding practices (TDD, code reviews, quality gates) and capable of auditing AI-generated code.
- Strong communication and training skills; able to engage both executive and technical audiences.
- Experience with Organizational Change Management, building communities of practice, and driving cultural adoption.
- Emotional intelligence to manage large-scale change and foster a positive engineering culture.

Desired Skills:
- Experience with legacy modernization projects.
- Cloud-native skills including Kubernetes, Docker, and environment configuration.
- Experience developing custom AI skills, guardrails, or MCP servers.

Other Information:
- No background check or drug screening required.