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AI Technical Coach

Hyrusinc


Job Location:

Chicago, IL - USA

Monthly Salary: Not provided by the employer
Posted: 9 October 2026 (23 hours ago)
Application Deadline: 6 January 2027
Vacancies: 1 Vacancy

Job Summary

Role: Principal AI Enablement & SDLC Transformation Lead
Location:Chicago IL (Preferred)
Target Start:October 5 2026
Experience:15 Years SDLC / Architecture 2 Years AI-Native Development

Opening / Selling Statement
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.

Required Skills
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 inClaude 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.
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 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 and skills to bake enterprise standards into the AIs persistent memory.
Collaborate with EQE & Governance:Work closely with AI Governance and Security teams to incorporate rules regulations and Dos and Donts into the developers daily IDE 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.
Job Requirements -
15 Years SDLC Experience:Comprehensive background in Agile methodologies Design Patterns and Microservices Architecture.
2 Years AI-Assisted Development:Proven track record using agentic AI tools and code assist tools in real-world enterprise-level production environments.
Full Stack Proficiency:Extensive experience with modern tech stacks. Java Spring Boot Web APIs microservices React a plus.
Exceptional Communication & Teachers 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.
Desired Skills & Experience -
Legacy Modernization:Proven experience with the investigation analysis and interpretation of legacy codebases for migration a plus.
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.

Required Skills:

DEVOPSAGILE METHODOLOGIESAZURETDDJAVAFULL STACKNOSQLMICROSERVICES ARCHITECTUREDOCKERDESIGN PATTERNSWEB APISKUBERNETESAIAWSGITHUBSPRING BOOT