Agentic AI Engineer - Kyndryl Data & AI

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

• 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

• 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

• 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

• 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

• 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

• 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