Grundlæggende

AI Engineer/Data Scientist – Agentic AI & Multi Agent Systems (m/f/d)

bolzano, trentino alto adige, Italy Selskab: JR Italy Klient / Arbejdsgiver: Volksbank
Opslået: 18.05.2026
Afslutningsdato: 02.07.2026
Jobreference: dd8fd6b9e808b660f020dac2a4493515

Jobinformation

Beliggenhed
bolzano, trentino alto adige, Italy
Selskab
JR Italy
Klient / Arbejdsgiver
Volksbank
Jobreference
dd8fd6b9e808b660f020dac2a4493515
Listetype
Grundlæggende
EU-arbejdstilladelse kræves
Nej
Opslået
18.05.2026
Afslutningsdato
02.07.2026

Jobbeskrivelse

Hai una forte passione per l’IA applicata?  Aggiungiti al nostro team e collabora a stretto contatto con le figure di business domain per progettare e realizzare soluzioni di Agentic AI basate su architetture multi‑agente, contribuendo attivamente alla trasformazione della banca in un’organizzazione AI‑first.

Mansioni principali
  • Progettare e sviluppare sistemi di Agentic AI e architetture multi‑agente, orientati all’automazione di processi complessi

  • Implementare logiche di orchestrazione tra agenti (coordinamento, pianificazione, memoria, tool usage)

  • Sviluppare soluzioni basate sull’ecosistema Microsoft AI (es. Azure AI Foundry/Azure AI Studio, Copilot Studio, Microsoft Agent Framework, Semantic Kernel)

  • Integrare gli agenti con sistemi aziendali (core banking, CRM, sistemi documentali, API interne)

  • Implementare pipeline RAG (Retrieval Augmented Generation) su dati e knowledge base aziendali

  • Collaborare con le figure di business per comprendere i requisiti funzionali e tradurli in workflow AI orchestrati

Requisiti
  • Laurea o esperienza equivalente in Informatica, Ingegneria, Data Science, Statistica, Matematica, Fisica, Scienze Naturali o discipline affini

  • Almeno 2–4 anni di esperienza in ambito AI Engineering e/o Machine Learning applicato

  • Esperienza pratica nello sviluppo di sistemi agentici o soluzioni di orchestrazione multi‑agente

  • Esperienza con lo stack Microsoft AI, in particolare: 

         o   Azure AI Foundry

         o   Semantic Kernel

         o   Microsoft Agent Framework (MAF)

         o   Copilot Studio

  • Conoscenza di Model Context Protocol (MCP), REST API e sviluppo cloud‑native su Azure

  • Capacità di lavorare in autonomia, orientamento al problem solving e al lavoro in team

Nice to have
  • Esperienza con Power Platform Agents

  • Esperienza con Microsoft Fabric (moduli “Data Science” e “PowerBI”)

Cosa offriamo
  • Interessanti benefit aziendali aggiuntivi

  • Numerose opportunità di formazione e perfezionamenti

  • Opportunità di sviluppo individuale

  • Sistema premiante variabili

  • Possibilità di svolgere la prestazione lavorativa in modalità ‘smart working’ secondo le condizioni previste dall’accordo aziendale

  • Orario di lavoro flessibile

Abbiamo suscitato il tuo interesse? Sei pronto ad accettare questa sfida?

Se è così, candidati!

Færdigheder

apply blended learning apply for research funding apply research ethics and scientific integrity principles in research activities build recommender systems Business Analytics Business Intelligence collect ICT data communicate with a non-scientific audience Computational Biology Computer Simulation conduct research across disciplines create data models Data Engineering data ethics Data Mining Data Models data quality assessment Data Science data visualisation software define data quality criteria deliver visual presentation of data demonstrate disciplinary expertise design database in the cloud design database scheme develop data processing applications develop professional network with researchers and scientists Digital Curation disseminate results to the scientific community draft scientific or academic papers and technical documentation empirical analysis establish data processes evaluate research activities execute analytical mathematical calculations Hadoop handle data samples Healthcare Analytics image recognition implement data quality processes increase the impact of science on policy and society information categorisation Information Extraction integrate gender dimension in research integrate ICT data interact professionally in research and professional environments interpret current data LDAP LINQ make data-driven decisions manage data manage data collection systems manage findable accessible interoperable and reusable data manage ICT data architecture manage ICT data classification manage intellectual property rights manage open publications manage personal professional development manage research data Marketing Analytics mathematical modelling MDX mentor individuals multidisciplinary research N1QL normalise data online analytical processing operate open source software perform data cleansing perform data mining perform project management perform scientific research promote open innovation in research promote the participation of citizens in scientific and research activities promote the transfer of knowledge publish academic research quantitative analysis query languages report analysis results Research Design resource description framework query language Scientific Computing scientific literature Social Network Analysis SPARQL speak different languages State Estimation statistical modeling techniques Statistics synthesise information teach in academic or vocational contexts think abstractly Unstructured Data use data processing techniques use databases use spreadsheets software visual presentation techniques write scientific publications XQuery

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