K

Kyndryl

Managed IT infrastructure and cloud services

Forward Deployed Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeMilan, Metropolitan City of Milan, Italy€39.8k

About the Job

Requirements

  • Demonstrable expertise in Python or another modern language such as C#, Node.js, or TypeScript.
  • A solid grasp of the software delivery lifecycle, version control using Git and GitHub, and data engineering tools such as Pandas and Spark.
  • Experience with cloud AI platforms such as AWS, Azure, or Google AI, and distributed computing architectures.

Responsibilities

  • Partner with customers to understand business challenges and translate them into high-quality, fit-for-purpose technical solutions, prioritizing the right outcome over the fastest one.
  • Build and iterate custom AI solutions tailored to customer needs using agentic AI frameworks.
  • Own delivery end to end, from scoping to production, and work as part of the customer team to engineer and deploy production-ready solutions that drive adoption and measurable business outcomes.
  • Troubleshoot and enhance system performance, scalability, and reliability.
  • Capture deployment learnings systematically, document best practices, and share insights to inform enhancements to Kyndryl’s core platforms and frameworks.
  • Engage in ongoing professional development to adapt to emerging technologies and evolving customer requirements.
  • Contribute to the evolution of Kyndryl’s AI platforms through feedback, code contributions, and collaboration with product teams.

Desired Qualifications

  • Experience working with AI/ML frameworks such as TensorFlow or PyTorch.
  • Familiarity with community-driven AI tools and libraries, including Hugging Face and relevant repositories.
  • Deep technical expertise in one or two domains, with broad understanding across AI/ML, cloud, and consulting.
  • Experience designing, building, or integrating multi-agent systems and orchestration frameworks such as LangGraph, Semantic Kernel, Agent Framework, AutoGen, or CrewAI, including developing agent protocols and coordination mechanisms.
  • Practical knowledge of deploying retrieval-augmented generation architectures and integrating structured and unstructured knowledge sources into AI solutions.
  • Knowledge of system-level optimization and security best practices for scalable AI systems.
  • Ability to translate business requirements into technical solutions and communicate technical value to diverse stakeholders, including executive audiences.
  • Willingness to travel and work on customer premises as required.
  • A degree-level qualification in Computer Science, Informatics, Data Science, Engineering, or a closely related discipline, or equivalent professional experience.

About the Company

Kyndryl

Managed IT infrastructure and cloud services

Kyndryl provides managed IT infrastructure services for large enterprises, helping them run and modernize their technology environments. Its offerings cover cloud adoption, cybersecurity, security operations, and digital workplace services, all delivered under long-term managed-service contracts. The company works by partnering with major technology providers (including Microsoft) to offer integrated, end-to-end solutions, often complemented by a new security operations center (SOC) and other security capabilities. This focus sets it apart from competitors through scale, enterprise-grade governance, and a history rooted in IBM’s infrastructure services, now independent but aligned with large technology partners. The goal is to support digital transformation by providing reliable, scalable, and secure infrastructure management that enables enterprises to operate efficiently and securely in a cloud-enabled world.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
2021

Recently Posted Jobs

Explore more opportunities at Kyndryl

See more jobs