This is a unique opportunity for a senior-level technologist who combines deep software engineering expertise with a passion for coaching, organizational transformation, and developer enablement. You will serve as a trusted advisor to engineering teams, helping modernize software delivery by guiding developers from traditional coding workflows toward AI-augmented software orchestration using Claude Code and other emerging AI technologies., Lead AI Transformation Across Engineering

• Drive adoption of AI-native software development methodologies across engineering teams.
• Coach developers on transitioning from manual execution to AI-assisted orchestration and accelerated software delivery.
• Facilitate formal training sessions, workshops, office hours, and peer-learning communities.

Develop Enterprise Training Programs

• Design and deliver comprehensive learning paths focused on Claude Code, context engineering, agentic workflows, and AI-assisted development patterns.
• Build training materials and enablement resources that improve developer productivity while maintaining quality and governance standards.

Design Career Evolution Paths

• Partner with engineering leadership and stakeholders to define role-specific AI adoption journeys.
• Help developers understand how responsibilities evolve within AI-augmented engineering environments.

Establish AI Development Standards

• Educate teams on enterprise AI configurations, including Claude project structures, persistent context management, and reusable skill frameworks.
• Promote consistent engineering practices and governance-aligned AI usage.

Partner with Engineering Excellence & AI Governance

• Incorporate security, compliance, governance, and organizational policies into day-to-day developer workflows.
• Collaborate with architecture, security, and platform teams to encourage responsible AI adoption.

Foster Communities of Practice

• Build and lead internal communities focused on AI engineering excellence.
• Create forums that encourage collaboration, knowledge sharing, and continuous learning.

Improve Requirements & SDLC Practices

• Teach engineering teams how to leverage AI to refine user stories, acceptance criteria, technical designs, and delivery workflows.
• Advocate for design-first thinking, TDD practices, and automated quality validation.

Promote Cost-Effective AI Usage

• Guide teams on effective context management, prompt engineering strategies, and responsible token consumption.
• Help teams balance productivity gains with platform efficiency and governance requirements.

The ideal candidate brings principal-level engineering experience, strong communication skills, and the credibility to engage senior developers, architects, engineering leaders, and executives., Technical Leadership

• 15+ years of software engineering, architecture, or SDLC leadership experience.
• Proven success influencing senior engineers, architects, and technical leadership teams.
• Strong understanding of enterprise software development practices and engineering transformation initiatives.

AI-Native Development Expertise

• Demonstrated hands-on experience with Claude Code and AI-assisted software development workflows.
• Experience implementing AI solutions across software delivery lifecycles.
• Ability to evaluate and improve AI-generated output through structured review, validation, and testing practices.

Full Stack Engineering Background

Strong experience with:

• Java
• Spring Boot
• REST/Web APIs
• Microservices Architecture
• Modern relational and NoSQL databases
• React or other modern SPA frameworks

Coaching & Communication

• Exceptional presentation, mentoring, and facilitation skills.
• Ability to communicate effectively with executive, technical, and non-technical audiences.
• Experience building training programs, mentoring developers, or leading technical enablement initiatives.

Organizational Change Management

• Experience leading large-scale technology adoption or transformation programs.
• Ability to support cultural change and drive adoption across engineering communities.
• Strong emotional intelligence and stakeholder management capabilities.

Quality & Engineering Excellence

• Strong advocate of Test-Driven Development (TDD), automated testing, and quality-first engineering practices.
• Ability to teach developers how to validate, refine, and productionize AI-generated solutions.

Enterprise Environment Experience

• Experience operating within complex enterprise environments with security, governance, compliance, and regulatory requirements.
• Strong critical thinking and problem-solving skills with the ability to connect technical execution to business outcomes.

Preferred Qualifications

• Experience with Kubernetes and Docker.
• Cloud experience in AWS, Azure, and/or Google Cloud Platform environments.
• Experience integrating AI workflows into CI/CD pipelines.
• Familiarity with GitHub, GitHub Actions, and modern code quality platforms.
• Experience developing AI guardrails, custom skills, MCP (Model Context Protocol) servers, or internal AI capabilities.
• Previous training, coaching, developer advocacy, or technical enablement experience strongly preferred., * 10+ years of Software Development Lifecycle (SDLC), Architecture, or Engineering Leadership experience
• 2+ years of AI-native development experience
• Bachelor’s degree in Computer Science, Engineering, Information Technology, or related field preferred
• Advanced degrees and relevant technical certifications are a plus

LI-DO1

Our client, a leading organization within the insurance industry, is seeking a Principal AI Enablement & SDLC Coach to lead the next evolution of software engineering through AI-native development practices.