AI Technical Coach

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., 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.

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.