Forward Deployed Engineer

Who We Are At Kyndryl, we design, build, manage and modernize the mission‑critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.

Your role The Forward Deployed Engineer (FDE) is a delivery‑first role for early career engineers who want to work where AI systems meet real enterprise complexity. As an FDE, you will embed directly with customer delivery teams to help build, prototype, and deploy AI‑enabled solutions in production environments. This is not a traditional software engineering role and not classic consulting. It is a hybrid role designed for real‑world AI deployment, where success is measured by outcomes and production scaled solutions, not experiments.

You will deliver defined technical components under guidance from senior engineers, while developing consulting fundamentals through direct customer exposure. You will work with modern AI development tools, generative and agentic AI architectures, and enterprise cloud platforms, learning how to translate technical work into customer value.

• Customer Engagement & Solution Integrity:
  Partner with customers to understand business challenges and translate them into high‑quality, fit‑for‑purpose technical solutions, prioritising the right outcome over the fastest one
• Rapid Prototyping:
  Build and iterate custom AI solutions tailored to customer needs, leveraging agentic AI frameworks
• Ownership, Deployment & Partnership:
  Own delivery end to end, from scoping to production. Work as part of the customer team to engineer and deploy production‑ready solutions that drive adoption and measurable business outcomes.
• Optimization:
  Troubleshoot and enhance system performance, scalability, and reliability
• Field Intelligence:
  Systematically capture deployment learnings, document best practices, and proactively share insights to inform enhancements to Kyndryl’s core platforms and frameworks
• Continuous Learning:
  Adapt quickly to emerging technologies and evolving customer requirements by engaging in ongoing professional development
• Platform Contribution:
  Actively contribute to the evolution of Kyndryl’s AI platforms through feedback, code contributions, and collaboration with product teams

Kyndryl currently does not require employees to be fully vaccinated against COVID‑19, however, if you are hired to work at a client, customer, or partner location, you may be required to show proof of vaccination to align with their respective COVID‑19 vaccination policies. Those who believe they are eligible may apply for a medical or religious accommodation prior to the start of employment.

• Required skills and experience
  • Programming Proficiency:
  Demonstrable expertise in Python, (or another modern language such as C#, Node.js or Type Script); experience working with AI/ML frameworks like Tensor Flow or PyTorch is a plus
  • Software Engineering:
  Solid grasp of the software delivery lifecycle, version control (Git & Git Hub), and data engineering tools such as Pandas and Spark
  • Cloud & Distributed Systems:
  Experience with cloud AI platforms (AWS, Azure, Google AI) and distributed computing architectures
• Preferred skills and experience
  • Open-Source Ecosystems:
  Familiarity with community‑driven AI tools and libraries, including Hugging Face and relevant repositories
  • T‑shaped Profile:
  Deep technical expertise in one or two domains, with broad understanding across AI/ML, cloud, and consulting
  • Agentic AI Systems:
  Experience designing, building, or integrating multi‑agent systems and orchestration frameworks (e.g., Lang…