Jobs at Quantiphi

Designs, develops, optimizes, and deploys machine learning and generative AI solutions on AWS. Builds RAG pipelines, AI agents, knowledge-base automation, vector retrieval systems, and workflow orchestration using Bedrock and agentic AI frameworks. Implements document processing, guardrails, authentication, authorization, monitoring, and scalable production infrastructure. Collaborates in Agile and DevOps environments using software engineering and CI/CD practices.

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.

Leads architecture, design, and delivery of complex enterprise applications and multi-component systems. Works across React interfaces, Python microservices, data pipelines, and AWS infrastructure. Drives technical strategy, system performance, reliability, and technical debt reduction while coordinating cross-functional initiatives. Mentors engineers, promotes engineering standards, and integrates AI-assisted development tools throughout the SDLC. Requires strong full-stack and data architecture expertise, architectural judgment, and experience delivering scalable production systems.

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.

Designs and scales infrastructure for GenAI and LLM workloads across multi-GPU, cloud, and on-premise environments. Responsibilities include GPU profiling, distributed training optimization, Slurm and Kubernetes cluster management, NVIDIA stack enablement, GenAI pipeline deployment, infrastructure-as-code, CI/CD automation, self-service platform development, monitoring, and client-facing architecture leadership. The role mentors technical teams and collaborates with data science, MLOps, software engineering, and application teams.

Lead organizational change management for cloud migration: conduct impact analyses, develop strategic communications, design and deliver training and enablement, engage stakeholders, assess readiness, define adoption metrics, and report progress to program leadership.

Lead and manage large-scale, multi-pillar cloud transformation programs using SAFe. Own PI planning, program cadence, risk and dependency management, stakeholder communication, and coaching of Scrum Masters. Support backlog organization, change management, and Jira/Confluence administration to ensure value delivery.

Architect and implement enterprise-grade MLOps/LLMOps on AWS (EKS-first), building scalable pipelines for training, validation, registry, deployment, monitoring, CI/CD, observability, lineage and governance; serve as technical authority, conduct architecture reviews, troubleshoot systems, and mentor engineering teams across projects.

Lead and facilitate Scrum ceremonies, coach teams on agile practices, coordinate migrations with application owners, manage risks and dependencies, maintain Jira artifacts and sprint reporting to enable predictable delivery.

Lead strategic cloud migration planning and stakeholder discussions; assess on-prem VMware environments; define target cloud architectures and governance; design cloud network and security (Palo Alto); oversee hands-on migration of VMs and complex workloads to ROSA/AWS/Azure/GCP; implement containerization and OpenShift migration strategies.

Lead design, architecture, and implementation of enterprise-scale AWS data platforms and Lakehouse solutions. Provide technical leadership across solution design, technology selection, implementation, optimization, deployment, and production support; mentor distributed teams and translate business needs into scalable, secure data solutions.

Responsible for developing and maintaining chatbot applications, collaborating with business partners on requirements, and enhancing chatbot capabilities using AI/NLP technologies.

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, develop, and deploy Tableau dashboards and BI solutions. Build and automate ETL/data pipelines, transform and model data for warehousing, publish to Tableau Server, and collaborate with stakeholders. Provide technical architecture, documentation, and lead teams on multiple large Agile projects while mentoring engineers and ensuring data quality and performance.

Design, build, and deploy production-grade Generative AI platform components across GCP/Azure. Implement RAG pipelines, multi-agent architectures, LLM gateway and execution runtimes, GenAIOps/MLOps practices, AgentOps, and platform CI/CD/infrastructure. Collaborate with implementation partners and LBU teams to deliver reusable, secure, and compliant GenAI services.

Lead strategic growth and account strategy for a major Life Sciences client. Own revenue, profitability, and executive relationships. Identify and expand AI, data, cloud, analytics, and scientific computing opportunities, negotiate enterprise agreements, and collaborate with global delivery teams to drive research, clinical development, and drug development outcomes.

Design, develop, and optimize scalable cloud-native AWS data platforms and high-performance batch/analytical pipelines using Spark/PySpark and Apache Iceberg. Implement Lakehouse solutions, optimize query and storage performance, ensure observability, data quality, and production support, and follow CI/CD and data engineering best practices while collaborating with stakeholders.

Serve as the primary client contact and lead discovery, translate requirements, and oversee end-to-end delivery of ML, software, and data analytics professional services. Define scope, manage budgets and resources, mitigate risks, ensure reporting, and collaborate with architects and talent teams to match skills to client needs.