Lead Agentic, AI Architect
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Responsibilities
- Own end-to-end delivery for complex AI engagements
- Translate business challenges into technical solutions, lead solution design and deployment
- Operate as a trusted technical partner to customers
- Own delivery end-to-end, from scoping to production
- Troubleshoot and enhance system performance, scalability, and reliability
- Capture deployment learnings, document best practices, and proactively share insights
- Adapt quickly to emerging technologies and evolving customer requirements
- 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)
- Experience working with AI/ML frameworks like TensorFlow or PyTorch is a plus
- 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
- 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
- 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
- Willingness to travel and work on customer premises as required
Core Competencies
Demonstrates expertise in Python and AI/ML frameworks, with a strong understanding of the software delivery lifecycle and cloud AI platforms. Capable of translating business challenges into technical solutions while ensuring system performance and scalability.
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