Quantiphi Benefits Overview

Leads enterprise AI architecture for generative AI, agentic systems, traditional machine learning, and computer vision. Designs secure, scalable platforms; establishes MLOps and LLMOps standards; prototypes and writes production code; leads client solutioning and pre-sales; ensures regulatory compliance; mentors architects and engineers; and governs technical standards across strategic engagements.

Design, build, and optimize scalable infrastructure for GenAI/LLM workloads across multi-GPU environments. Perform GPU profiling and distributed training optimization, manage Slurm and Kubernetes/OpenShift clusters, enable NVIDIA GPU stack, create IaC templates (Terraform/Helm), and collaborate with data science and MLOps teams to deploy production GenAI pipelines.

Architect and implement enterprise MLOps and LLMOps platforms on Google Cloud. Own model lifecycle pipelines, CI/CD automation, deployment, monitoring, drift detection, lineage, governance, and observability. Build GKE-based ML platforms, conduct architecture reviews, troubleshoot complex systems, collaborate with engineering and client teams, and mentor technical staff. Travel up to 30% is required.