Senior Forward Deployed Engineer

2 giorni fa

Monza, Provincia di Monza e Brianza; Lombardia, Italia Kyndryl Tempo pieno

Overview

As a Senior Forward Deployed Engineer, you design and implement modern data and AI-driven architectures that integrate with enterprise workflows. You will work across cloud-native data platforms, AI governance, and MLOps to deliver scalable, secure solutions. The role emphasizes cross-functional collaboration and staying at the forefront of AI and data transformation. You will shape end-to-end solutions that enable faster, smarter business outcomes in a global, learning-oriented environment.

Retribuzione / Benefits

  • Be Well programs supporting financial, mental, physical, and social health
  • hybrid-friendly culture
  • continuous learning and growth opportunities
  • certifications with Microsoft, Google, and Amazon
  • career development and coaching

Responsabilità

  • Define and implement modern data architectures using cloud-native tech, data lakes, and real-time streaming
  • Design AI-driven solutions (generative and agentic AI) integrated with enterprise workflows
  • Establish MLOps practices, AI governance, and model lifecycle management
  • Collaborate with cross-functional teams to deliver large-scale AI and data initiatives
  • Evaluate emerging technologies to keep the company at the forefront of AI and data transformation

Requisiti fondamentali

  • Proven experience designing cloud-native AI and data architectures (AWS, Azure, GCP)
  • Strong expertise in generative AI, agentic AI, LLMs, and orchestration frameworks
  • In-depth knowledge of MLOps, AI governance, and scalable model deployment
  • 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
  • Problem-solving
  • Clear communication
  • Stakeholder management
  • Cloud-native AI and data architectures (AWS, Azure, GCP)
  • Generative AI, agentic AI, LLMs
  • MLOps, AI governance, scalable deployment