Jobs at Quantiphi

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.

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.

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.

The Senior Software Developer will design and develop scalable backend services and APIs, optimize data models, manage AI integrations, and mentor junior engineers in an agile environment.

Lead architecture and design of cloud data analytics solutions on AWS. Advise customers, run discovery/design workshops, support sales and proposals, guide migrations/modernizations, build ETL/API/SQL solutions, and collaborate with partners for productization and thought leadership.

Lead enterprise application modernization initiatives by defining modernization strategies (replatform, refactor, rebuild), transforming monoliths into microservices, conducting application discovery and technical debt analysis, designing cloud-native architectures, implementing containerized CI/CD pipelines, using code-quality/security tooling and agentic AI for migration, and driving client-facing consulting, pre-sales, and executive stakeholder engagements.

Lead end-to-end enterprise application migrations to AWS: perform discovery, dependency mapping, codebase assessments, and risk analysis; design cloud-native architectures; deploy and troubleshoot apps on EC2 Linux; modernize .NET, Java, Python, and Node.js stacks; enhance CI/CD pipelines; use agentic AI and code-quality tools; provide technical leadership, client-facing consulting, pre-sales support, and migration runbooks and documentation.

Lead platform engineering and AWS cloud migrations from on-prem VMware to AWS. Architect, deploy, and maintain cloud infrastructure; design hybrid networking and security; automate migrations and CI/CD using IaC, scripting, and configuration management; troubleshoot OS and database migrations; and optimize post-migration performance.

The Architect - Platform role involves designing and maintaining cloud infrastructure, implementing IaC practices, automating processes via CI/CD, and leading teams in an Agile environment.

The Associate Architect - Data will design and implement AWS-based data warehouses and lakes, utilize semantic layer tools, optimize performance, and integrate data with BI tools.

Design and deliver ML solution architectures in healthcare. Lead model development, deployment and operationalization with cross-functional teams, communicate insights to clients, mentor senior staff, drive technical discussions, and identify sales opportunities.

The Client Solutions Partner leads pre-sales and solutioning for AI-led contact center transformations, collaborating with stakeholders to shape solutions that modernize customer experience.

The Senior Business Analyst will design user experiences for virtual agents, gather customer requirements, create conversation flows, and act as a liaison between stakeholders and development teams in Conversational AI projects.

Design and build agentic GenAI systems (chat copilots, workflow/graph agents) using LLMs and multimodal models. Implement vector stores, hybrid search, re-ranking, chunking, monitoring, evaluation, and CI/CD. Integrate and fine-tune models, apply prompt engineering, configure guardrails/PII redaction, and collaborate with presales/customers to deliver production AI solutions.

Design, develop, and maintain ETL/data pipelines using SSIS; manage and optimize MySQL databases and SQL queries; build and deploy SSRS reports; lead data warehousing and integration efforts; troubleshoot data engineering issues and collaborate with stakeholders.

Design and lead implementation of scalable, secure, highly available full-stack solutions. Review and improve existing architectures, produce low-level designs, ensure compliance and CI best practices, mentor developers, and drive application/cloud migration and modernization efforts.

The Senior Business Analyst will analyze and solve complex problems in the Insurance industry, lead project teams, gather requirements, and develop innovative solutions using advanced analytics and machine learning.

Design, modernize, and deliver enterprise Java/Spring Boot applications on AWS. Lead API and microservices development, cloud deployments, testing, and client-facing architecture discussions while mentoring teams and ensuring application security and scalability.