Real job — pulled straight from PwC’s careers page · Verified May 25, 2026 · No reposts.
Job description
PwC is hiring a AI Engineering Manager, Full-Stack — a full-time, based in Milan, Italy role. Apply directly on PwC's careers page below.
AI Engineering Manager (Full-Stack) - Milano
Location: Milan
Time Type: Full time
Job Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
ManagerJob 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 SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
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Frequently asked questions
What skills are required for AI Engineering Manager, Full-Stack at PwC?
The required skills for AI Engineering Manager, Full-Stack at PwC include: Python, Spark, SQL, AWS, Azure, GCP, Databricks, React, DevOps, MLOps, LangChain, LangGraph, LLM, RAG.
What is the seniority level for AI Engineering Manager, Full-Stack at PwC?
AI Engineering Manager, Full-Stack at PwC is a Manager level position.
How do I apply for AI Engineering Manager, Full-Stack at PwC?
You can view the full description and apply for AI Engineering Manager, Full-Stack at PwC on EchoJobs: https://echojobs.io/job/pwc-ai-engineering-manager-full-stack-milano-slrhk.