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Mid-level GenAI role in metro at known enterprise increases applicant competition.
Role requires specialized GenAI and agentic AI deployment experience, limiting cross-industry transferability.
Explicit 3–6 years requirement plus mandatory GenAI and agentic AI experience makes shortlisting strict.
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Collaborate directly with customers to scope, prototype, and deploy tailored AI solutions leveraging Generative AI and Agentic AI architectures, ensuring measurable business outcomes.
Own end-to-end delivery of AI solutions from initial scoping through to production deployment and adoption alongside customer teams, with accountability for solution integrity and performance optimization.
Capture field insights systematically to enhance Kyndryl’s AI platforms and frameworks, and contribute actively to continuous platform development through feedback and code contributions.
3-6 years of relevant IT experience including at least 1 year with Agentic AI frameworks and 2 years with Generative AI solutions.
Proficient in Python programming; experience with AI/ML frameworks like TensorFlow or PyTorch is a plus.
Experience with multi-agent systems, orchestration frameworks (e.g., LangGraph, Semantic Kernel, AutoGen), Retrieval-Augmented Generation (RAG) architectures, and cloud AI platforms (AWS, Azure, Google AI).
Degree in Computer Science, Informatics, Data Science, Engineering or related field, or equivalent professional experience; willingness to travel and work onsite with customers.
Technically deep and T-shaped profile with expertise integrating AI/ML solutions directly in complex enterprise settings alongside customers.
Experienced in hybrid delivery roles combining engineering skills and consultative engagement with a focus on outcome-driven AI deployments.
Capable of working in fast-paced, dynamic environments requiring rapid prototyping, troubleshooting, and optimization of scalable AI systems in partnership with cross-functional teams.