Forward Deployed Engineer
About Kyndryl
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.
Role Overview
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.
Responsibilities
- 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
Requirements
- Programming Proficiency: Demonstrable expertise in Python, (or another modern language such as C#, Node.js or TypeScript); experience working with AI/