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.
The Role
As an Agentic AI Engineer at Kyndryl, you’ll design and build intelligent systems that think, reason and act – helping enterprises evolve from AI-enabled to truly AI-native.
We’re solving hard problems at scale, integrating data, AI and automation to create self-improving systems that deliver measurable business value. You’ll work with as part of a Data and AI hands-on engineering team that’s turning Agentic AI from concept to production reality.
If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential.
Why this role matters
You’ll be part of a fast-moving group shaping Kyndryl’s Agentic AI Framework – an open, modular system that connects data pipelines, LLMs, reasoning engines and orchestration layers to power autonomous solutions across industries.
We’re not just imagining the future of AI transformation – we’re building it.
Startup inside Kyndryl: Low hierarchy and high accountability. You’ll own delivery from concept to code to production
Cross-stack engineering: Build systems that run seamlessly across hyperscalers and modern data platforms
Impact at scale: Your code, frameworks and deployments will help clients move from proof-of-concepts to AI-native operations
Collaborative innovation: Pair with data scientists, architects and platform engineers to deliver integrated, client-ready systems
Open-source mindset: Contribute to the evolution of our Agentic AI framework and the wider AI ecosystem
What you’ll do
Design and build agentic systems that combine reasoning, planning and action across complex enterprise environments
Engineer modular components within Kyndryl’s Agentic AI Framework – covering LLM orchestration, vector retrieval, data connectors and multi-agent coordination
Build and deploy scalable solutions across multi-cloud environments using containerisation, microservices and event-driven design
Translate client challenges into engineered systems that reason, learn and adapt – improving efficiency, resilience and decision-making
Bridge AI and data architecture to ensure agents are grounded in solid data foundations, scalable pipelines and secure governance
Automate end-to-end with CI/CD pipelines, observability and responsible-AI guardrails
Collaborate and mentor across disciplines to accelerate delivery and strengthen technical excellence
Deliver measurable outcomes that move clients from AI-enabled experiments to production-grade AI-native enterprises
What you bring
Strong coding skills in Python and experience with agentic and LLM frameworks such as LangChain, Semantic Kernel, AutoGen or DSPy
Hands-on experience in data engineering and architecture – APIs, streaming, ETL or data mesh principles
Ability to work across multi-cloud and data platform ecosystems (AWS, Azure, GCP, Databricks, Snowflake, Fabric, Elastic)
Familiarity with vector databases, knowledge graphs or temporal data models Experience with MLOps or AIOps pipelines, versioning and monitoring
Understanding of LLM orchestration, RAG pipelines, tool-use and agent frameworks
Systems-level curiosity and a self-starter mindset – you take ownership, build iteratively and deliver with pace and rigour
Expect to:
Lead solution engineering for agentic systems that become core to client transformation programmes
Co-create solutions that move enterprises from AI-enabled to AI-native
Contribute to a global framework defining how intelligent systems are built, governed and scaled
Join us and help define what it means to engineer the future of Agentic AI.
Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.
Who You Are
You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others.
Required Skills and Experience
Minimum of 7 years of experience
Advanced degree in AI, Computer Science, or related field.
Experience with PyTorch/TensorFlow, vector databases, RAG, and orchestration tools.
Exposure to regulated industries.
Agentic AI, Multi-Agent Systems, LLM Deployment, LangGraph, LangChain, RAG, AI Orchestration
Building multi-agent systems and agentic workflows (e.g., AutoGPT, LangGraph, CrewAI, or custom frameworks)
Integrating external APIs, databases, and knowledge sources
Action planning and reasoning frameworks (e.g., ReAct, Tree-of-Thought, Plan-and-Execute)
Designing human feedback loops and delegation mechanisms
Plus, you bring
Experience collaborating with high-trust, low hierarchy engineering teams where autonomy and deliver pace matter
Ability to move across disciplines – data architecture, engineering and AI integration – depending on project needs
Experience contributing to open source or shared codebases or shaping internal reusable Data, ML and AI frameworks
Strong problem-solving mindset and capacity to translate client requirements into engineered, scalable systems
Preferred Skills and Experience
Certifications across AWS, Azure or Google Cloud
Proven experience with data and AI platforms such as Databricks, Snowflake, Fabric or Elastic
Prior involvement in digital transformation or AI native product development within enterprise settings
Experience with graph theory, knowledge representation or distributed systems
Contributions to technical or academic communities such as open-source authorship, whitepapers, conference presentations
#AgenticAI
Being You
Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way.
What You Can Expect
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
Get Referred!
If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.
Top Skills
Kyndryl London, England Office
Registered office: 2nd Floor, 100 Liverpool Street, , United Kingdom, London, United Kingdom, EC2M 2AT
