Transformation Engineer

Tribal Scale is a digital innovation firm that helps organizations adapt and thrive in a rapidly changing world. We partner with clients to build transformative digital products, modernize technology platforms, and apply emerging technologies—including artificial intelligence—to meaningful business challenges.
Our teams work closely with clients from strategy through execution. We value curiosity, ownership, practical innovation, and people who are comfortable turning ambiguity into action.

Our Digital Expertise

• Transformation Experts: We transform traditional business models into agile, AI-powered ecosystems.
• Strategic Visionaries: We navigate the uncharted waters of technological evolution.
• Product Virtuosos: We orchestrate the creation of world-class digital solutions.
• Code Optimizers: We leverage AI to refine and perfect digital systems.

Our Technological Toolkit

• Voice-Activated Platforms: (Amazon Alexa, Google Home)
• Connected Ecosystems: (Cars and Homes)

The Tribal Scale Professional

You thrive in challenging environments where innovation is key. Your passion for technology is matched only by your drive to redefine its limits. You seek more than a job; you seek a calling—a chance to make a lasting impact on the digital landscape.

We’re looking for a Transformation Engineer to join our growing team  this role, you will be embedded with a client organization of approximately 500 employees, serving as a hands‑on AI platform builder, technical leader, and educator over an extended engagement.

You will help establish and continuously improve the organization’s AI knowledge foundation—its "company brain"—while building production‑ready agentic systems, advancing Claude Code practices, and enabling teams across the business to adopt AI workflows. Success means not only shipping working systems, but also making them secure, maintainable, useful, and widely adopted.

This is a hands‑on engineering and organizational transformation role for someone who can move quickly from ambiguity to production, partner across functions, and own outcomes over time.

• Design, build, and maintain an LLM‑powered company knowledge base("company brain" or LLM wiki) that captures institutional knowledge and makes it usable by employees and agents.
• Architect agentic memory and context strategies: define what agents remember, how knowledge is retrieved and refreshed, and how access permissions are enforced.
• Develop practical retrieval, indexing, knowledge‑quality, and lifecycle processes that keep information accurate, relevant, and secure.

• Design, build, deploy, and operate agentic applications and production harnesses, including evaluations, observability, guardrails, testing, human oversight, and ongoing iteration.
• Serve as the organization’s Claude Code expert: establish conventions for CLAUDE.md, skills, subagents, hooks, MCP integrations, and repeatable team workflows.
• Build reusable developer tooling, integrations, APIs, and automation that improve engineering productivity and software delivery.
• Deploy and maintain solutions on AWS, applying IAM permissions, security controls, monitoring, reliability practices, and cost management.

• Design and deliver a structured training program for an approximately 500‑person organization, covering agentic memory, harnesses, Claude Code, and practical AI workflows for technical and non‑technical audiences.
• Run workshops, hands‑on demonstrations, office hours, and tailored onboarding; create documentation and reusable learning materials.
• Develop internal AI champions and support managers and teams as they embed new practices into day‑to‑day…