Jobs at Quantiphi

As a Senior Machine Learning Engineer, you will design and optimize AI systems, fine-tune large models, automate workflows, collaborate with teams, and stay current in AI research and development.

The Associate Engagement Manager will manage client relationships, oversee project delivery, guide team technical solutions, and ensure effective communication and risk management.

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 the design and development of scalable web applications, focusing on backend architecture with Java and Spring Boot while ensuring application performance and security.

Designs, builds, and supports data warehouse, BI and data visualization solutions. Gathers stakeholder requirements, develops ETL/transformation and integration services, ensures data design, transport, access, quality and metadata, and promotes best practices and standards across BI initiatives.

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 Sales Director will drive growth by acquiring new customers and nurturing existing relationships, focusing on data management, AI/ML, and cloud solutions.

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 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 build API-first, distributed full-stack applications integrating LLMs, RAG, and multi-agent workflows. Implement microservices, real-time features, observability, CI/CD, and cloud-native deployments while mentoring engineers and ensuring scalable, production-grade systems.

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.

Lead development and maintenance of internal Python SDK frameworks and agentic workflows, build scalable FastAPI-based ML APIs, automate CI/CD with Jenkins and GitLab Runners, use Galileo for model evaluation and observability, and collaborate across teams to deliver production-grade autonomous systems.

The role focuses on fostering a culture of innovation and growth while leveraging technology. It emphasizes a collaborative environment to achieve personal and professional excellence.

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

Design, build, and operate production knowledge graphs: define schemas, manage schema versioning, implement provenance and concept linking, build idempotent ETL/streaming pipelines, author optimized Cypher/SPARQL/Gremlin queries, tune performance at scale, expose graph APIs, define retrieval quality benchmarks, and produce operational runbooks and handoff documentation.

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

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.

The Senior Sales Engineer will develop GTM strategies, drive market expansion and revenue growth in the BFSI sector by engaging clients and managing key accounts.

Design and deploy scalable GenAI and NLP solutions on AWS, architect agentic AI systems, fine-tune and evaluate LLMs (LLama2), implement model orchestration and context management, integrate vector stores and APIs, and collaborate with cross-functional teams to deliver production-grade ML services.

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