PricewaterhouseCoopers (PwC)

Global professional services: assurance, tax, consulting

AI Engineering Manager Full-Stack

Engineering LeadershipConfirmed live in the last 24 hours

Full-timeMilan, Metropolitan City of Milan, ItalyNo salary listedIn-person

About the Job

Requirements

A degree in a STEM discipline is required; Informatics/Computer Science, Computer Engineering, Mathematics, or Statistics is preferred.
Several years of experience in AI Engineering, Data Engineering, or ML Engineering are required.
Advanced knowledge of Python, Spark/PySpark, SQL, and distributed architectures is required.
Established experience with at least one cloud platform—AWS, Azure, GCP, Palantir, or Databricks—is required.
Advanced competence in Generative AI, including LLMs, advanced prompt engineering, RAG, agentic AI, and multi-agent orchestration, is required.
Knowledge of frameworks for developing agentic solutions, including LangChain, LangGraph, Agno, Google ADK, or Microsoft Agent Framework, is required.

Responsibilities

Lead client workshops to identify AI transformation opportunities and translate business needs into scalable, robust architectures.
Design and oversee implementation of complex data platforms and pipelines on cloud environments.
Define architectural standards, best practices, and development frameworks for AI and Data Engineering solutions.
Govern CI/CD/CT, DevOps, and MLOps processes, ensuring automation, monitoring, and operational continuity.
Design and validate advanced Generative AI solutions, including LLMs, RAG, agentic AI, AI copilots, and enterprise chatbots.
Oversee end-to-end solution development, from data ingestion through user interfaces using React, Streamlit, or low-code tools.
Contribute to presales, proposal development, and technology roadmap definition.
Manage the team’s operations and growth.

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

Entrandonel teamAIEngineering di PwCcome 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 dellaprogettazione architetturale, della leadership tecnica e del coordinamento diteam 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 dataplatforme 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,DevOpseMLOpsassicurando automazione, monitoraggio e continuità operativa

Progettare e validare soluzioni avanzate di Generative AI (LLM, RAG,AgenticAI, AIcopilots, chatbotenterprise)

Supervisionare lo sviluppo di soluzioni end-to-end, dalla dataingestionfino alle interfacce utente (React,Streamlit, low-code)

Contribuire ad attività dipre-sales,proposale 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 inAIEngineering, 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,AgenticAI, orchestrazione multi-agent)

Conoscenza di framework per lo sviluppo di soluzioneagentiche(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

About the Company

PricewaterhouseCoopers (PwC)

Global professional services: assurance, tax, consulting

PwC provides assurance (audit), tax, legal services, consulting and deals advisory to organisations worldwide. It uses multidisciplinary teams across accounting, advisory, technology and industry, delivered through a global network of locally established firms that collaborate with technology partners to offer AI, cloud, managed services and digital trust. PwC differentiates itself with an integrated, global-local service model and technology-enabled offerings that address complex client needs across risk, transformation, reporting and sustainability. Its goal is to help clients improve governance, efficiency and value by supporting reporting accuracy, business transformation, risk management and sustainable practices.

Company size: 10,001+
Company stage: Early VC
Total funding: $3.3M
Headquarters: London, United Kingdom
Founded: 1989

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