Company description: 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.
Job description: As an Agentic AI Engineer at Kyndryl, youll design and build intelligent systems that think, reason and act helping enterprises evolve from AI-enabled to truly AI-native.
Were solving hard problems at scale, integrating data, AI and automation to create self-improving systems that deliver measurable business value. Youll work with as part of a Data and AI hands-on engineering team thats 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
Youll be part of a fast-moving group shaping Kyndryls Agentic AI Framework an open, modular system that connects data pipelines, LLMs, reasoning engines and orchestration layers to power autonomous solutions across industries.
Were not just imagining the future of AI transformation were building it.
Startup inside Kyndryl: Low hierarchy and high accountability. Youll 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 youll do
Design and build agentic systems that combine reasoning, planning and action across complex enterprise environments
Engineer modular components within Kyndryls 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
Required profile: Youre 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, youre open and borderless naturally inclusive in how you work with others.
Required Skills and Experience
Degree or equivalent practical experience in computer science, data engineering, AI or a related technical field
Proven hands-on experience in Agentic AI or GenAI engineering including designing, building and deploying frameworks and orchestration systems, not just using APIs
Strong programming fluency in Phyton
Solid understanding of data and software architecture patterns such as microservices, message brokers, streaming and event driven design
Demonstrated ability to deliver production grade AI solutions that integrate data pipelines, models and orchestration logic across multi-cloud or hybrid environments
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
What we offer: 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.
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