Key skills
AWSAzureCloudJavaScriptNode.jsPandasPythonSparkTypeScriptC#CAIMLRAGHugging FaceData EngineeringGitGitHubVersion Control
About this role
Role Overview
- Collaborate directly with customers to solve complex challenges
- Build and iterate custom AI solutions tailored to customer needs
- Own delivery end to end, from scoping to production
- Troubleshoot and enhance system performance, scalability, and reliability
- Capture deployment learnings and document best practices
- Adapt quickly to emerging technologies
- Actively contribute to the evolution of Kyndryl’s AI platforms
Requirements
- Demonstrable expertise in Python, (or another modern language such as C#, Node.js or TypeScript)
- Familiarity with community-driven AI tools and libraries, including Hugging Face
- Deep technical expertise in one or two domains, with broad understanding across AI/ML, cloud, and consulting
- Experience designing, building, or integrating multi-agent systems and orchestration frameworks
- Practical knowledge of deploying RAG architectures and integrating structured and unstructured knowledge sources into AI solutions
- Solid grasp of the software delivery lifecycle, version control (Git & GitHub), and data engineering tools such as Pandas and Spark
- Experience with cloud AI platforms (AWS, Azure, Google AI) and distributed computing architectures
- Knowledge of system-level optimisation and security best practices for scalable AI systems
- Ability to translate business requirements into technical solutions and communicate technical value to diverse stakeholders
Tech Stack
- AWS
- Azure
- Cloud
- JavaScript
- Node.js
- Pandas
- Python
- Spark
- TypeScript
Benefits
- Flexible, supportive environment
- Be Well programs designed to support financial, mental, physical, and social health
- Professional development opportunities
- Opportunities to lead engagements