aimlroles

AI Engineering Manager (Full-Stack) - Milano

PwC Open · verified Oct 22, 2026
Milan Full-time Manager AI Engineering

At a glance

Manager-level AI Engineering role at PwC. Milan · full-time.

Pay not stated AI Engineering salary

RoleAI Engineering
SeniorityManager
LocationMilan
EmploymentFull-time
PostedMar 20, 2026 · 7mo ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Lead client workshops to find AI transformation opportunities, then turn business needs into scalable architecture
  • Design and oversee complex cloud data platforms and pipelines, setting engineering standards and development practices
  • Steer CI/CD/CT, DevOps and MLOps processes to automate delivery, monitoring and ongoing operations
  • Validate generative AI designs and oversee end-to-end delivery, from data ingestion to user interfaces
  • Support proposals and technology roadmaps while guiding the team’s day-to-day work and development

What you bring

  • A degree in a STEM field, preferably computer science, computer engineering, mathematics or statistics
  • Substantial professional experience in AI, data or machine-learning engineering
  • Strong Python, Spark or PySpark, SQL and distributed-architecture skills, plus experience with at least one named cloud platform
  • Advanced generative AI capability, including prompt engineering, RAG, agentic systems and multi-agent orchestration
  • Experience with frameworks for building agent-based solutions, such as LangChain, LangGraph or another listed framework

Who this fits

This manager-level role suits a senior AI engineering professional who can lead technical delivery and coordinate multidisciplinary teams. You’ll also contribute to proposals and support the team’s operational work and growth. The role is based in Milan, Italy; visa sponsorship is unavailable.

From the employer

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?

No

Government Clearance Required?

No

Job Posting End Date