Deploys, integrates, optimizes, and operationalizes enterprise generative AI platforms in secure, on-premise, and air-gapped banking environments. Responsibilities include managing OpenShift and Kubernetes workloads, NVIDIA GPUs, LLM inference, containerized deployments, Helm and Kustomize configurations, GitOps and CI/CD pipelines, and secure infrastructure integrations. The engineer troubleshoots deployment, networking, and performance issues while collaborating directly with client IT, security, infrastructure, engineering, and AI teams.

Own the end-to-end architecture of secure, enterprise-grade Generative AI and AI infrastructure platforms for regulated banking environments. Design GPU-accelerated, on-premise, air-gapped platforms using NVIDIA technologies, OpenShift, Kubernetes, RAG, LLMs, graph databases, and enterprise data pipelines. Provide technical leadership, establish security and data-sovereignty standards, guide AI and engineering teams, and evaluate emerging technologies for measurable business impact.