Jobs at Quantiphi

The role involves leading data migration and modernization strategies, designing scalable AWS solutions, and managing large-scale data projects. Responsibilities include technical leadership, architecture design, project implementation, and mentoring engineers.

The Associate Architect will lead the development and deployment of machine learning solutions on Azure, manage the ML lifecycle, and optimize existing models while providing technical leadership to project teams.

Design, develop, modernize, and maintain enterprise Java/Spring Boot applications and microservices on AWS. Lead API integrations, deployments, testing, and cloud-native solutions. Mentor team members, engage with customers, troubleshoot production issues, and ensure secure, scalable architectures following Agile practices.

Design and deliver end-to-end GenAI and ML solutions on AWS: build SageMaker pipelines, fine-tune LLMs (Llama2), implement RAG with vector stores (OpenSearch/Elasticsearch), develop LangChain-based LLM apps, perform prompt engineering, model evaluation and optimization, and collaborate with cross-functional teams to integrate models into production.

Design, modernize, and deliver enterprise Java/Spring Boot applications on AWS. Lead API and microservice development, cloud deployments, troubleshooting, client consultations, mentoring, and ensuring architecture and code quality.

Design, develop, and maintain enterprise .NET applications, RESTful APIs and microservices using .NET Core/.NET Framework and Blazor. Lead architecture, CI/CD (Git, Maven, JFrog, UDeploy), AWS deployments (EC2, EKS, RDS), conduct code reviews, resolve production incidents, mentor developers, and collaborate with stakeholders in Agile delivery.

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.

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.

The Architect - Chatbot is responsible for developing and maintaining chatbot applications, designing system architecture, and supervising a small team of developers while utilizing various AI and NLP technologies.

Design and deliver large-scale data pipelines and storage/compute solutions on Google Cloud. Build ingestion and processing jobs for terabyte/petabyte workloads, create cloud migration strategies, troubleshoot distributed systems, and develop automation, testing, and monitoring tooling. Collaborate with cloud, software, ML, and operations teams and contribute to proposals and solution designs while ensuring data modeling and governance.

Design and implement scalable enterprise data platforms, ETL/ELT pipelines, data warehouses and lakes. Define data models, governance, security, and architecture standards. Collaborate with product, BI, and data science teams, provide production support, mentor engineers, and evaluate emerging technologies and POCs.

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.

The Client Solutions Partner (AWS) leads client discussions to understand business needs, supports the sales cycle, and manages enterprise workloads on AWS, focusing on cloud adoption and digital transformation efforts.

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.