Forward Deployed Engineer - AI & Agentic Engineer in London

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) with an AI & Agentic Engineering focus, you own delivery of AI applications for complex customer engagements, including the agentic systems and generative AI features that go into production in close collaboration with platform engineering. You translate business challenges into technical solutions, build and iterate AI applications, and work hand-in-hand with the platform engineers on the team throughout design, build, and deployment. You’re accountable for what you build, including how well it holds up once people are actually using it. You operate with significant autonomy, bring deep expertise in agentic AI architectures and applied software engineering, and confidently bridge engineering rigour with business value. You use modern AI development tools and sound engineering practice across the full delivery lifecycle to accelerate learning, improve quality, and deliver measurable impact.

What You Will Do:

• Translate business challenges into agentic AI applications and generative AI use cases.
• Build and iterate AI applications: agentic workflows and the frameworks that run them, RAG pipelines, and LLM API integrations.
• Process unstructured data into condensed, structured knowledge, including ontology extraction.
• Write production-grade Python services (FastAPI) with solid engineering practices: design, testing, code review, CI/CD.
• Work with relational and graph databases (e.g. Postgres, Neo4j) to model and serve data behind AI applications.
• Work closely with platform engineering throughout deployment — hosting and MLOps/LLMOps — without owning that infrastructure yourself.
• Define AI governance and responsible-use guardrails: data privacy boundaries and policy enforcement (OPA/Rego).
• Instrument AI applications for observability (OpenTelemetry, Prometheus).
• Guide clients through legacy modernisation into AI-enabled workflows, troubleshooting performance and reliability issues.
• Capture deployment learnings and share best practices to inform core AI platform frameworks.
• Contribute code, reusable agentic patterns, and feedback to core platform teams.

Who You Are:

You don’t need to tick every box below to apply — this reflects the breadth of the role, not a strict checklist.

Required Skills and Experience:

• 5+ years of hands-on software engineering experience, with exposure to AI/ML integration and API design.
• Strong Python engineering (FastAPI), with solid SDLC practices: design, testing, code review, CI/CD, Git & GitHub.
• Hands-on experience with agentic AI frameworks (examples include LangGraph, CrewAI, AutoGen, Semantic Kernel, OpenAI’s Agents SDK, and Google’s Agent Development Kit) and MCP (Model Context Protocol).
• Practical experience building RAG/LLM-based pipelines and working with vector databases.
• Experience with relational and graph databases (e.g. Postgres, Neo4j) and Docker for building and running AI applications.
• Hands-on familiarity with modern AI coding copilots (e.g. Claude, Codex, Cursor).

Preferred Skills and Experience:

• Familiarity with observability instrumentation for AI systems (OpenTelemetry, Prometheus).
• Experience with AI/ML frameworks (TensorFlow, PyTorch) and the Hugging Face / open-source AI ecosystem.
• Experience with image understanding and OCR.
• Working knowledge of policy-as-code (OPA/Rego) for AI governance and guardrails.
• Understanding of LLM governance: data privacy, guardrails, and responsible-use controls.
• Experience guiding clients through legacy application modernisation into AI-enabled workflows.
• T-shaped profile: solid technical expertise in AI engineering, broad understanding across enterprise IT and technical consulting.
• Ability to serve as a trusted advisor, translating business requirements into technical roadmaps for diverse stakeholders.
• Willingness to travel and work on customer premises as required.
• Degree in Computer Science, Informatics, Data Science, Engineering, Physics, Mathematics, or a related discipline — or equivalent professional experience.

The “Kyn” in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don’t meet every requirement, we encourage you to apply. We believe in growth, and we’re excited to see what you can bring.

Your career with us isn’t just a job—it’s an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health—because we know that when you feel your best, you do your best.

We’re here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you’ll have everything you need to thrive and evolve.