Forward Deployed Engineer - AI Architect Lead

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 As a Forward Deployed Engineer (FDE), you own end to end delivery for complex AI engagements. You translate business challenges into technical solutions, lead solution design and deployment, and operate as a trusted technical partner to customers. You are accountable not just for what gets built, but for whether it works‑technically, operationally, and for the people who rely on it.

You operate with significant autonomy, bring deep expertise in at least one technical domain, and confidently bridge engineering rigor with business value. You use AI assisted development tools across the full delivery lifecycle to accelerate learning, improve quality, and deliver measurable impact.

• 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 protocols and coordination mechanisms
• Retrieval-Augmented Generation (RAG) & Knowledge Systems:
  Practical knowledge of deploying RAG architectures and integrating structured and unstructured knowledge sources into AI solutions
• Performance & Security:
  Knowledge of system‑level optimisation and security best practices for scalable AI…