Jobs at Quantiphi

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.

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

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.

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

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

The Machine Learning Engineer develops and optimizes workflows, implements advanced AI models and tools, and collaborates on data pipelines. Responsibilities include fine-tuning models and optimizing deployments for performance and cost.

Design and maintain scalable Azure infrastructure, implement CI/CD pipelines, optimize AI model performance, and ensure compliance with AI standards.

The Senior Machine Learning Engineer will develop and optimize workflows, implement advanced RAG capabilities, build data pipelines, and fine-tune models while collaborating closely with Data Engineers.

Design and implement data integration solutions between Azure AI and SAP systems, ensuring data integrity, security, and optimal performance.

The Technical Architect - Machine Learning designs multi-layered AI solutions, defines technical roadmaps, leads model evaluation, and ensures architectural alignment in AI services and governance.

The Associate Architect - Data will design and develop data warehouse solutions using Snowflake on Azure, lead data pipeline development, implement error handling and monitoring, and mentor junior data engineers, focusing on technical solutions for business requirements.

The Engagement Manager will oversee client relationships, project delivery, and team management for data and cloud engagements, ensuring successful project execution and team development.

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 Architect - Machine Learning role involves designing cloud ML solutions on AWS, implementing Generative AI models, and collaborating with cross-functional teams to enhance LLM performance for user-friendly applications.

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.

The Architect - Platform Engineer guides technology evaluations, designs architecture, leads teams, manages client expectations, and implements DevSecOps pipelines across cloud environments, focusing on best practices and compliance.