Agentic AI Productivity Specialist
Pubblicato il 10-08-2026 - Luigi Lavazza in Veneto
DESCRIPTION
At Nuvola HQ, we are looking for an Agentic AI Productivity Specialist to turn
high‑value productivity use cases into production‑grade AI agents & automations.
Your mission will be: design, deploy, and run these solutions end‑to‑end in the
Microsoft stack, embedding security, privacy, and auditability from day one to
drive measurable impact at scale.
If you’re passionate about innovation and want to turn AI into measurable
business impact, this could be a great opportunity for you
?What you’ll do:
* Partner with business leaders to spot high‑value productivity use cases,
advising on feasibility, architecture, risks, and trade‑offs.
* Design, build, test, and deploy AI agents & automations that boost enterprise
and individual productivity.
* Own the solution end‑to‑end: documentation, versioning, scalability,
reliability—primarily in the Microsoft ecosystem.
* Embed security, privacy, and compliance by design (PII protection, access
control, GDPR, Responsible AI) with full traceability.
* Coordinate and technically steer vendors on advanced/specialized initiatives.
* Run operations & continuous improvement: monitoring, troubleshooting,
usage/accuracy optimization; codify patterns and best practices.
✨What you’ll bring:
* Strong hands‑on with Microsoft 365/Copilot, Power Platform, Azure OpenAI, and
orchestration/workflow patterns.
* Ability to translate business needs into agent designs, challenge
requirements, and make trade‑offs explicit.
* Solid integration skills (APIs, connectors to ERP/CRM/ITSM), Git and basic
CI/CD for automation assets.
* A Security & Responsible AI mindset (data minimization, access governance,
auditability).
* Monitoring/telemetry to measure impact and reliability; continuous tuning.
* Clear communication in English and Italian
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✨ In Return We Offer
* Hybrid working policy (10 days a month remote working)
* Company restaurant service
* Access to our corporate gym
* A fast paced and dynamic international context
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