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Covisian
AI

Data and AI Engineer - Enterprise Agentic Solutions

Covisian · Roma, LAZ, IT

Actively hiring Posted about 1 month ago

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

Preferred qualifications

  • 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

Benefits

  • 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
  • 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

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