Teams at Quantiphi

Serve as a technical advisor for strategic clients, architecting AI solutions and technology roadmaps. Lead customer presentations, demonstrations, proofs of concept, and technical sales cycles, particularly on Google Cloud. Translate complex AI concepts into business value, overcome technical objections, influence product and company strategy, develop new opportunities, and mentor AI talent. Requires strong expertise in generative AI, computer vision, cloud architecture, executive communication, quantitative analysis, and consultative selling.

Build, deploy, and maintain production-grade machine learning systems on Google Cloud Platform. Develop generative AI applications, RAG systems, agentic and multi-agent workflows, traditional ML, and computer vision solutions. Own MLOps practices including CI/CD, testing, model versioning, deployment, monitoring, and drift detection. Build APIs, microservices, knowledge graphs, and semantic search systems while collaborating with architects, data engineers, analysts, and enterprise clients.

Design and develop enterprise Master Data Management solutions using Profisee, Informatica MDM, or Reltio. Build scalable ingestion, integration, transformation, ETL/ELT, and publishing pipelines; implement cleansing, matching, deduplication, survivorship, hierarchy, and data quality rules. Integrate MDM platforms with databases, APIs, data lakes, warehouses, and applications. Troubleshoot production issues, maintain mappings and documentation, collaborate with stakeholders, support delivery activities, and mentor junior data engineers.