AI Technical Coach

job summary: Seeking a Principal AI-Native Enablement & Transformation Lead to spearhead the Organizational Change Management (OCM) and technical upskilling mission for our engineering community. This role is designed for a veteran Full Stack Architect 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 and Cursor.

location: Telecommute job type: Contract salary: $70 - 75 per hour work hours: 9am to 5pm education: Bachelors

responsibilities:

• 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 OCM team 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 EQE & 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.
• Legacy Systems Modernization Focus: Tailor training to enhance AI-enabled strategies for analyzing, documenting, and refactoring legacy applications into modern architectures.
• 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.

qualifications: Principal-Level Technical Leadership: 15+ years of hands-on experience in the SDLC, with the ability to lead by expertise, guidance, and oversight for senior engineering teams.

AI-Native Tooling Mastery: Deep, demonstrable proficiency in Claude Code (Required), Cursor, or GitHub Copilot.

Modern Tech Stack Expertise: Extensive and architect level experience with modern tech stacks (ie Java Spring Boot, Microservices), modern databases (ie relational, NoSQL) and a modern SPA framework/architecture (ie React).

Architectural Orchestration: Proven ability to move beyond “syntax production” to “architectural oversight,” framing problems for AI with precision and constraints.

Cloud & DevOps Integration: Practical experience with GitHub, GitHub Actions, code quality tools and Cloud environments (AWS/Azure/GCP) to align AI workflows with CI/CD pipelines.

Critical Review Mastery: Expert-level capability in modern coding patterns such as TDD (Test Driven Development), Microservice architecture and the ability to audit AI-generated code for “vibe coding” vs. robust, idiomatic engineering.

OCM Strategy & Implementation: Practical experience with Organizational Change Management concepts; training user communities, building a “Community of Practice” that fosters peer-to-peer learning and cultural buy-in.

skills: Agile methodologies,AWS,AI integration,modern architectures,AI,AI-enabled,AI workflows,Cloud Native,Cloud environments,codebases,Cursor,databases,Cloud & DevOps,Docker,GitHub Copilot,GitHub,GitHub Actions,modern Java,Java,Kubernetes,Legacy Systems,Microservices,Microservice architecture,Microservices Architecture,Azure,Native Development,NoSQL,React,Design Patterns,code quality,Java Spring Boot,Spring Boot,SDLC,Test Driven Development,Web APIs,adaptable,Exceptional Communication,speaking,Critical Thinking,emotional intelligence,ability to lead,resilient,high-performance,credibility,Acceptance Criteria,Architecture,enablement tools,AI-Assisted Development,automated,AI Transformation,Capability Development,Organizational Change Management,OCM,AI Enablement,Governance,AI Governance,lifecycle management,mentor,psychological,investigation,Security,Standardize,ability to teach,Technical Leadership,Tooling,Develop Training,User Stories

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate’s education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

,

• 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 OCM team 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 EQE & 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.
• Legacy Systems Modernization Focus: Tailor training to enhance AI-enabled strategies for analyzing, documenting, and refactoring legacy applications into modern architectures.
• 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.

Agile methodologies,AWS,AI integration,modern architectures,AI,AI-enabled,AI workflows,Cloud Native,Cloud environments,codebases,Cursor,databases,Cloud & DevOps,Docker,GitHub Copilot,GitHub,GitHub Actions,modern Java,Java,Kubernetes,Legacy Systems,Microservices,Microservice architecture,Microservices Architecture,Azure,Native Development,NoSQL,React,Design Patterns,code quality,Java Spring Boot,Spring Boot,SDLC,Test Driven Development,Web APIs,adaptable,Exceptional Communication,speaking,Critical Thinking,emotional intelligence,ability to lead,resilient,high-performance,credibility,Acceptance Criteria,Architecture,enablement tools,AI-Assisted Development,automated,AI Transformation,Capability Development,Organizational Change Management,OCM,AI Enablement,Governance,AI Governance,lifecycle management,mentor,psychological,investigation,Security,Standardize,ability to teach,Technical Leadership,Tooling,Develop Training,User Stories