Mainframe Modernization- FDE

At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.

Your role At Kyndryl, Forward Deployed Engineers work where enterprise AI becomes real. This is not a traditional consulting role or a back office engineering position. Forward Deployed Engineers embed directly with customers to design, build, and deploy AI solutions that operate in complex, regulated, production environments. As a Forward Deployed Engineer (FDE), you will own defined delivery work streams within customer engagements—prototyping, deploying, and optimizing AI systems that create measurable business outcomes.

You will operate with growing independence in customer environments, bridging deep engineering expertise with business context, and translating ambiguous problems into production ready solutions. This role sits at the intersection of engineering, consulting, and delivery accountability. You will use modern AI development tools to accelerate solution design, code generation, testing, and deployment, while building the customer trust that sustains long term impact and referenceable success.

• 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

• 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

• 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 Graph, Semantic Kernel, Agent Framework, Auto Gen, CrewAI), including the development of agent…