Overview

As Senior AI Data Scientist you will build agentic systems to run HR processes end to end across multiple countries. You’ll map processes, quantify costs, and design stateful, production-ready agents that can trigger actions and integrate with various systems. The role emphasizes robust, deterministic automation over pure modelling, with safety gates, rollbacks, and governance. You will own end-to-end delivery—from concept to containerisation, instrumentation, and maintenance. This is a high-impact, cross-functional role at scale, shaping how HR operations are automated across Europe.

Responsabilità

- Map leaver offboarding across 19 countries and translate into a process inventory with cost per step
- Facilitate workshops with HR, Rewards, and Ops leads to assess automation candidates for impact and feasibility
- Design state transitions, triggers, branches, system calls, wait points, and failure handling for multi-step flows
- Implement guardrails: dry-run mode, approval gates, least-privilege credentials, rollback paths
- Determine human-in-the-loop points, confidence thresholds, and a practical review queue
- Develop evals for output beyond accuracy (task completion, hallucinations, bias testing)




- Wire agents to webhooks with idempotent handlers to avoid duplicate actions
- Decide which steps require frontier models vs. cheaper alternatives and prove routing decisions with data
- Evaluate vendor APIs, data models, integration costs, and API exposure in vendor demos

Requisiti fondamentali

- 7+ years building data and ML systems in industry
- Expert in Python and ML; production-ready code and containerisation
- Experience shipping end-to-end multi-step LLM workflows with orchestration and fault tolerance
- Cost and latency engineering mindset: model routing, caching, batching
- Strong governance and safety practices: least-privilege, approval gates, rollback
- Ability to map real processes with quantification and stakeholder facilitation
- Executive-level business case writing and cost modelling

- Facilitation with senior stakeholders
- Stakeholder management and clear communication
- Pragmatic decision-making under high risk
- Python with solid readability
- Docker or equivalent containerisation
- End-to-end ML systems with multi-step tool-calling workflows

📌 Senior AI Data Scientist — Agentic Process Development (Firenze)
🏢 Team.Blue
📍 Firenze