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AI coach Tech Lead/Architect

Pubblicato il 02-10-2026 - PALO IT in Italia

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.
- We are small enough to care locally, big enough to deliver globally ( 10 countries, 450+ experts from 50+ nationalities )
- We are becoming an agentic organization, adopting the AI-native operating model we bring to our clients.
- We are robust and resilient (100% independent, 0 debt, founded 2009)
- We are AI-native professionals who invest in what we believe and work as a collective intelligence
- 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




- Lead the design and evolution of technology solutions, ensuring scalability, performance, security, and maintainability .
- 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.
- Design, build, and evolve REST APIs , including versioning, contract-first practices ( OpenAPI ), backward compatibility, and robust error handling.
- Define and enforce engineering standards: clean code , testing strategy, code reviews, observability, security practices, and CI/CD .
- Mentor and coach engineers, fostering a strong delivery culture and continuously raising the engineering bar.
- Partner with Product, QA, UX, and stakeholders to refine scope, assess technical risks, shape the roadmap, and deliver incrementally.
- Encourage AI-first engineering practices (Copilot/GenAI) wit

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