Required Skills and Experience
•Programming Proficiency: Demonstrable expertise in Python, (or another modern language such as C#, Node.js or TypeScript); experience working with AI/ML frameworks like TensorFlow or PyTorch is a plus.
•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., LangGraph, Semantic Kernel, Agent Framework, AutoGen, 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.
•Software Engineering: Solid grasp of the software delivery lifecycle, version control (Git & GitHub), 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.
•Performance & Security: Knowledge of system-level optimisation and security best practices for scalable AI systems.
•Business Acumen: Ability to translate business requirements into technical solutions and communicate technical value to diverse stakeholders, including executive audiences.
•Flexibility: Willingness to travel and work on customer premises as required.
•Education: Degree-level qualification in Computer Science, Informatics, Data Science, Engineering, or a closely related discipline - or equivalent professional experience.
Why join us?
You will become part of a team that values pace, autonomy, and tangible impact. At Kyndryl, you will have full visibility of the delivery lifecycle, with opportunities to lead engagements and shape strategic direction. Our triad delivery model means you will work alongside experts in engineering, product, and consulting, fostering continuous learning and innovation. Career progression is clearly defined, from Junior to Principal levels, with pathways to influence the evolution of our AI platforms. You will contribute directly to platform development and see the results of your work in real-world applications. If you are seeking an environment where your ideas are valued and execution drives results, this is the place to make a difference.
If you want to work where innovation meets execution, apply now.