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
- 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
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
- 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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