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Metro location and popular AI engineering role create moderate candidate competition.
Specialized agentic AI and RAG experience required, but skills remain reasonably transferable across industries.
Requires deep agentic AI, RAG, cloud, production deployment and consulting experience, so filters are strict.
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Collaborate directly with customers to scope, prototype, and deliver production-ready AI solutions, owning end-to-end delivery.
Develop and deploy agentic AI architectures and multi-agent systems incorporating retrieval-augmented generation and knowledge integration for measurable business outcomes.
Capture deployment insights to optimize system performance and contribute feedback and code to enhance Kyndryl’s AI platforms.
Proficiency in Python or similar modern languages; experience with AI/ML frameworks like TensorFlow or PyTorch is a plus.
Experience designing, building, or integrating multi-agent AI systems and RAG architectures.
Degree in Computer Science, Informatics, Data Science, Engineering, or closely related field, or equivalent experience.
Work Experience Required: Not explicitly mentioned in the JD; willingness to travel and work onsite as needed.
Deep technical expertise in AI system engineering combined with a broad understanding of cloud, AI/ML, and consulting environments.
Demonstrated ability to engage with customers and translate business needs into technical AI solutions with measurable impact.
Experience working in dynamic, real-world deployments with accountability for end-to-end AI solution delivery and platform contribution.