AI Coach Tech Architect
Posted 18 Sep 2026
Advertised as “AI Coach Tech Lead/Architect”
BranchFactor Summary
The original posting with the fluff stripped out
- Management level
- People management
- Employment
- Hybrid
- Contract
- Full-time
No salary listed for this role.
Who We Are
Building the AI-first frontier enterprise.
We are a global technology consultancy with a trademarked, AI-first approach**—Gen-e2™.** It redefines how enterprises build digital products and transform their organizations with AI. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.
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We are small enough to care locally, big enough to deliver globally (10 countries, 450+ experts from 50+ nationalities)
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We are becoming an agentic organization, adopting the AI-native operating model we bring to our clients.
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We are robust and resilient (100% independent, 0 debt, founded 2009)
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We are AI-native professionals who invest in what we believe and work as a collective intelligence
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We are positive, courageous and deliver at the leading edge.
Your Role
As a Software architect with a strong AI coaching, you will lead the technical delivery of digital products end-to-end—hands-on when needed while guiding teams toward scalable, secure, and maintainable solutions.
Key Responsibilities
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Lead the design and evolution of technology solutions, ensuring scalability, performance, security, and maintainability.
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Drive architectural decisions and trade-offs (e.g., microservices vs modular monolith), applying patterns such as DDD, Clean/Hexagonal Architecture, and event-driven approaches when relevant.
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Design, build, and evolve REST APIs, including versioning, contract-first practices (OpenAPI), backward compatibility, and robust error handling.
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Define and enforce engineering standards: clean code, testing strategy, code reviews, observability, security practices, and CI/CD.
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Mentor and coach engineers, fostering a strong delivery culture and continuously raising the engineering bar.
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Partner with Product, QA, UX, and stakeholders to refine scope, assess technical risks, shape the roadmap, and deliver incrementally.
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Encourage (Copilot/GenAI) with proper governance: quality gates, security, traceability, and testing.