Senior AI & Data Architect

Kyndryl; Milano; Hybrid; EUR 55,000 - 98,000; Full time

Benefits offered by this job

Be Well program

Learning and certifications

Hybrid-friendly culture

Job summary

Kyndryl Italia S.P.A. is seeking a Senior Forward Deployed Engineer to design and implement cutting-edge architectures combining data platforms with AI-driven solutions. You will enable intelligent, scalable enterprise systems that accelerate innovation and business value.

The role requires expertise in cloud-native AI architectures, MLOps, and AI governance, with strong collaboration across cross-functional teams to deliver large-scale AI initiatives.

Qualifications

• Proven experience designing cloud-native AI and data architectures.
• Strong expertise in generative AI, agentic AI, LLMs, and orchestration frameworks.
• In-depth knowledge of MLOps, AI governance, and model deployment at scale.
• Solid understanding of data platforms, including data lakes, real-time streaming, and event-driven architectures.
• Ability to define integration patterns between AI services and enterprise applications.

Responsibilities

• Define and implement modern data architectures leveraging cloud-native technologies, data lakes, and real-time streaming platforms.
• Design AI-driven solutions - including generative and agentic AI frameworks - integrated with enterprise workflows.
• Establish best practices for MLOps, AI governance, and model lifecycle management to ensure reliability and compliance.
• Collaborate with cross-functional teams to deliver large-scale AI and data initiatives, driving adoption across the organization.
• Evaluate emerging technologies and trends to keep the company at the forefront of AI and data transformation.

Skills

Cloud-native AI

MLOps

AI governance

Real-time streaming

Stakeholder mgmt

Tools

AWS

Azure

GCP

Job description

Kyndryl Italia S.P.A. is seeking a Senior Forward Deployed Engineer to design and implement cutting-edge architectures combining data platforms with AI-driven solutions. You will enable intelligent, scalable enterprise systems that accelerate innovation and business value.

The role requires expertise in cloud-native AI architectures, MLOps, and AI governance, with strong collaboration across cross-functional teams to deliver large-scale AI initiatives.