Jobs at Quantiphi

Lead end-to-end payroll and offboarding across multiple countries, validate Workday inputs, ensure statutory compliance, handle F&F settlements and employee/ex-employee payroll queries, support audits, detect/process payroll inconsistencies, and drive payroll automation initiatives.

Lead platform architecture for cloud-based solutions, design scalable secure AWS platforms and integrations, define IaC and CI/CD pipelines, implement IAM governance, observability, and automation, and provide technical leadership and stakeholder management.

Lead Platform Engineering to architect, deploy, and manage secure, scalable AWS cloud infrastructure using IaC, CI/CD, monitoring, automation, and container platforms; enforce AWS security governance; mentor engineers and collaborate on solution design.

Design and build LLM/GenAI solutions and agentic AI workflows using AWS Bedrock and AgentCore. Develop RAG pipelines, embeddings and vector search, prompt engineering, document parsing, and KB-driven AI agents. Implement secure deployments using API Gateway, Lambda, SageMaker, CI/CD, and observability. Collaborate in Agile teams to productionize and monitor GenAI applications.

Lead presales and solutioning for P&C insurance clients: craft proposals and financials, present to executives, drive pipeline and revenue, partner with BU leaders on AI, data, and cloud solutions, maintain collateral and CRM, and travel to client sites.

Lead Oracle database migrations to AWS, ensuring minimal downtime and optimized performance. Responsibilities include database tuning, pipeline building, and managing S3 data lakes.

The role involves leading automation strategy and framework development, executing automation projects, mentoring engineers, and ensuring integration with CI/CD pipelines while driving innovation in testing practices.

The Associate Lead will oversee QA and MLOps for AI systems, defining testing strategies, validating ML lifecycles, and leading quality initiatives with AWS services.

Design and deliver Agentic AI platforms, manage end-to-end software development, lead teams, and ensure robust DevOps practices.

Lead client engagements for digital transformation initiatives, managing delivery via Scrum, resource allocation, stakeholder communication, project financials, and team mentoring to ensure customer success and measurable outcomes.

Senior Test Automation Engineer responsible for defining test architecture and quality strategy across UI, API, database, and AI/LLM systems. Build and maintain automation frameworks (Playwright/Selenium) integrated with CI/CD, drive API and backend testing, validate LLM/agent behavior and model quality, mentor QA teams, and ensure scalable test data and pipeline validation.

Design, develop, and maintain scalable analytics solutions on the Looker BI Platform, focusing on LookML modeling and collaboration with data engineers and stakeholders.

The Data Modeler designs and maintains the Common Data Model and source-to-target mappings for healthcare data assets, working closely with engineers and clinical informaticists to ensure accuracy and integrity in data representation.

Design and maintain scalable analytics solutions on Looker BI Platform, optimize data models, develop dashboards, and ensure governance and compliance with data standards.

The Engagement Manager leads AI and Generative AI client programs, ensuring project delivery, stakeholder engagement, and account growth while managing technical teams.

The Data Architect is responsible for designing data architecture, leading the creation of the Common Data Model, ensuring standards compliance, and handling high-volume data ingestion while collaborating closely with technical and governance teams.

The Associate Architect - Machine Learning role involves developing cloud ML solutions on AWS, fine-tuning LLMs, and collaborating with teams for optimal model implementation.

Responsible for defining the testing strategy and infrastructure across the platform, including the development of a four-tier test framework and leading load testing campaigns. The role requires collaboration with data engineering teams and establishes QA strategies for data quality and testing frameworks.

The Senior Data Engineer will build and maintain data ingestion pipelines, manage FHIR serialization, and work within a spec-driven development framework, ensuring operational stability and high data quality for healthcare data workloads.

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.