Jobs at Quantiphi

Design and implement scalable full-stack solutions using .NET and React. Lead architecture, cloud migration (AWS/Azure), microservices, and API development. Mentor developers, perform code reviews, resolve production issues, manage client interactions, and drive delivery with a focus on performance, security, and multi-tenant SQL Server architectures.

Design and deliver scalable, production-grade machine learning platforms and Python SDKs; architect agentic and multi-agent AI systems; build FastAPI-based APIs; implement CI/CD with Jenkins and GitLab Runners; establish observability with Galileo; mentor MLEs and drive architectural decisions for cloud-native, distributed AI services.

Design, optimize, and scale multi-GPU infrastructure for GenAI/LLM workloads. Perform GPU profiling and benchmarking, manage Slurm and Kubernetes/OpenShift clusters, enable NVIDIA GPU stack, build GenAI pipelines (fine-tuning, RAG, multi-modal), create IaC templates, and support production deployments and client engagements.

Manage and optimize mission-critical SQL Server databases hosted on AWS EC2 for a high-availability trading application. Responsibilities include performance tuning, database administration, HA/DR implementation, backup and recovery, security and compliance, monitoring, incident response, capacity planning, and 24/7 on-call support. Collaborate with developers, DevOps, and architects on database changes, production deployments, documentation, and disaster recovery testing.

Designs and maintains Snowflake-based cloud data pipelines and lake architectures for asset-based finance and mortgage servicing analytics. Leads legacy-system migrations, ETL/ELT development, data validation, reconciliation, and financial integrity controls. Translates business requirements into Jira epics and user stories, supports project planning, testing, cutover, and go-live readiness, and coordinates with business, finance, operations, and technical stakeholders.

Lead the design, development, testing, deployment, and optimization of scalable distributed applications and web services. Build Python/FastAPI backend services, ReactJS interfaces, and PostgreSQL data systems. Deploy and monitor cloud-native applications on GCP, collaborate on AI/ML integrations, contribute to architecture and SDLC practices, and mentor junior developers through code reviews and technical leadership.

Leads complex technical programs across engineering, product, infrastructure, security, and operations teams. Defines objectives, roadmaps, milestones, dependencies, and success metrics; coordinates APIs, data flows, integrations, and non-functional requirements. Manages risks, escalations, stakeholder communication, launch readiness, cutovers, rollback plans, monitoring, SLOs, runbooks, and post-launch validation. Requires strong program management fundamentals, technical fluency, and experience driving cross-team software, platform, or infrastructure programs.

Serve as a Property & Casualty insurance subject matter expert driving digital transformation: advise on product, underwriting, claims, core system modernization (Guidewire/Duck Creek), ensure California regulatory compliance, map and redesign workflows, integrate Insurtech and Agentic AI for underwriting and STP, and translate business needs into technical requirements for engineering and executive stakeholders.

Design and scale GenAI/LLM infrastructure for multi-GPU environments, perform GPU profiling and optimization, manage Slurm/OpenShift/Kubernetes clusters, enable NVIDIA GPU stack, build GenAI pipelines and IaC templates, and support production deployments and client engagements.

Own strategic growth, revenue, and profitability for major P&C insurance accounts. Build C-suite relationships, develop account plans, identify AI/data/cloud opportunities, lead commercial negotiations, and coordinate global delivery to drive client transformation and expansion. Travel up to 50%.

Lead development of internal Python SDKs and agentic AI workflows, build scalable FastAPI ML services, maintain CI/CD with Jenkins/GitLab Runners, and use Galileo for model evaluation and observability to productionize autonomous systems.

The AI Solutions Lead will expand Quantiphi's business in key insurance accounts by managing executive relationships, developing account strategies, leading sales initiatives, and ensuring client satisfaction.

Design, develop, and deploy production forecasting models and agentic AI solutions on GCP. Perform EDA, feature engineering, experiment design, and model interpretability. Build and integrate AI agents (LangChain, Vertex AI Agents) into quotation and forecasting workflows, maintain MLOps pipelines (Vertex AI Pipelines, Cloud Composer), and present results to stakeholders.

The Sales Leader for Life Insurance is responsible for acquiring new customers, developing executive relationships, and driving sales of technology services to Life Insurance companies, focusing on AI and cloud solutions.

Lead per-SYSID assessments and design L2 sequence and data-flow diagrams. Define Kafka topic topology and microservice boundaries, plan Oracle AQ to Confluent Kafka migrations, assess Spring Boot migration paths, design AWS Step Functions for batch orchestration, and produce current vs. future-state architectures.

Architect and implement MLOps strategies, design ML pipelines, mentor teams, and ensure compliance on Google Cloud, focusing on AI/ML best practices.

Design and lead large-scale AWS migrations (rehost/replatform), architect cloud infrastructure and platforms, automate migrations with IaC and scripting, troubleshoot OS/database issues, and implement hybrid networking and security best practices.

Design and deliver enterprise-grade Generative AI solutions on AWS using Bedrock and AgentCore. Architect LLM-based applications, RAG pipelines, agentic workflows, vector DB integrations, and APIs. Optimize models for performance, cost, and quality, ensure security and governance, lead teams, and troubleshoot production GenAI systems.

Architect and implement enterprise-grade MLOps/LLMOps platforms on AWS and Kubernetes. Design ML/LLM pipelines for training, validation, deployment, monitoring, governance, CI/CD, and observability. Serve as technical authority, conduct architecture reviews, ensure security and compliance, and mentor engineering teams across projects.

Lead end-to-end delivery of enterprise Generative AI programs (LLMs, RAG, Agentic AI). Define roadmaps, manage multi-workstream global teams, align technical delivery with business outcomes, guide architecture, MLOps, GPU/inference optimization, vector DB and fine-tuning strategies, ensure AI governance, and maintain executive stakeholder relationships.