AI Engineering Manager (Full-Stack) - Milano

PwC

Milan permanent

Posted: March 20, 2026

Job Description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

Entra a far parte della practice Data&Cloud di PwC Italy e diventa:

AI Engineering Manager Full-Stack

Descrizione del ruolo

Entrando nel team AI Engineering di PwC come profilo Senior, avrai un ruolo chiave nella guida di programmi di trasformazione digitale complessi per primari player nei settori Automotive & Industrial Manufacturing, Consumer Markets, Energy & Utilities, Healthcare, Financial Services e Telco & Media.

Sarai responsabile della progettazione architetturale, della leadership tecnica e del coordinamento di team multidisciplinari, contribuendo alla definizione di soluzioni AI e Data Engineering scalabili, innovative e ad alto impatto sul business.

Responsabilità principali

• Guidare workshop con i clienti per identificare opportunità di trasformazione AI e tradurre esigenze di business in architetture scalabili e robuste

• Disegnare e supervisionare la realizzazione di data platform e pipeline complesse su ambienti cloud (AWS, Azure, GCP, Palantir, Databricks)

• Definire standard architetturali, best practice e framework di sviluppo per soluzioni AI e Data Engineering

• Governare processi CI/CD/CT, DevOps e MLOps assicurando automazione, monitoraggio e continuità operativa

• Progettare e validare soluzioni avanzate di Generative AI (LLM, RAG, Agentic AI, AI copilots, chatbot enterprise)

• Supervisionare lo sviluppo di soluzioni end-to-end, dalla data ingestion fino alle interfacce utente (React, Streamlit, low-code)

• Contribuire ad attività di pre-sales, proposal e definizione di roadmap tecnologiche, oltre che alla gestione del team dal punto di vista operativo e di crescita

Requisiti richiesti

• Laurea in discipline STEM (preferibilmente Informatica, Ingegneria Informatica, Matematica, Statistica)

• Esperienza pluriennale in AI Engineering, Data Engineering o ML Engineering

• Conoscenza approfondita di Python, Spark/PySpark, SQL e architetture distribuite

• Esperienza consolidata su almeno una piattaforma cloud (AWS, Azure, GCP, Palantir, Databricks)

• Competenza avanzata in Generative AI (LLM, Prompt Engineering avanzato, RAG, Agentic AI, orchestrazione multi-agent)

• Conoscenza di framework per lo sviluppo di soluzione agentiche (langchain, langraph, agno, Google ADK, Microsoft Agent Framework)

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility {+ 30 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

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