Data and AI Engineer – Enterprise & Agentic Solutions

Data and AI Engineer – Enterprise & Agentic Solutions

For the Group’s business unit dedicated to helping organisations design and implement AI-ready data ecosystems capable of translating business strategy into scalable, well-managed and high-impact solutions, we are looking for

a Data and AI Engineer – Enterprise & Agentic Solutions. This role is designed for a hands-on engineer with strong experience across

data platforms, cloud environments, DevOps practices, and AI/ML production systems

. You will contribute to the design, deployment, and optimization of modern enterprise solutions that combine scalable data processing, intelligent automation, and AI-enabled capabilities. The ideal candidate combines strong software and platform engineering fundamentals with experience in

data pipelines, cloud-native delivery, model operationalization, and production support.

We are looking for someone who can help industrialize data and AI use cases in complex enterprise environments, with a practical mindset and a strong focus on reliability, performance, and automation. Key Responsibilities

Design, build, and optimize

data and AI solutions

for enterprise clients Contribute to the development and operationalization of

data pipelines, AI models, and intelligent services

in production environments Support the implementation of scalable architectures across

cloud and multi-cloud ecosystems Develop and improve

batch and streaming data processing pipelines

using modern distributed frameworks Build and enhance

CI/CD pipelines

, automation practices, and release processes for data and AI workloads Contribute to data lake, ingestion, transformation, and export architectures supporting business-critical use cases Troubleshoot production issues and improve platform reliability, performance, and operational efficiency Collaborate with cross-functional teams to translate technical requirements into robust, maintainable, and scalable enterprise solutions What We Offer

The opportunity to work on

high-impact transformation initiatives

at the intersection of data engineering, AI deployment, cloud infrastructure, and agentic solutions Exposure to challenging enterprise environments with real engineering responsibility and end-to-end platform impact A role within a business unit focused on

business insights, AI-driven transformation, and agentic solutions Professional growth in a company with a

business-first, technology-agnostic mindset A collaborative environment focused on innovation, engineering quality, and long-term value creation Location

This position is

based in Rome

with a

hybrid smart working model. What We Are Looking For

Proven experience in roles such as

Data Engineer, AI Engineer, ML Engineer, Platform Engineer, or Senior Software Engineer Strong hands-on background with

Python, Java, or Scala Solid experience with

cloud platforms

, especially

Azure, AWS and GCP Experience with

data engineering and distributed processing ecosystems such as Spark, Kafka, Hadoop, Hive, or NiFi Strong knowledge of

containerization, orchestration, and DevOps tools,

including

Docker, Kubernetes, Jenkins,

or similar technologies Familiarity with

SQL / NoSQL

technologies and modern data architectures Experience in

deployment, optimization, and troubleshooting

of production-grade data or AI workloads Strong problem-solving skills, ownership, and a collaborative engineering mindset Nice to Have

Experience with

LLM integration, LLMOps, or AI model deployment

in enterprise applications Familiarity with frameworks and tools such as

Ray

or similar environments for model serving and orchestration Exposure to

computer vision, fraud detection, or intelligent automation use cases Experience working in

multi-cloud client environments Background spanning both

software engineering and data platform delivery Salary will be assessed based on experience. The search is open to candidates of both sexes. Interested parties are invited to read the information on the processing of personal data in accordance with applicable legislation, in particular Article 13 of Regulation (EU) No. 2016/679 (GDPR).

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