Jobs at Quantiphi

The AI Solutions Lead will expand Quantiphi's business in key insurance accounts by managing executive relationships, developing account strategies, leading sales initiatives, and ensuring client satisfaction.

Serve as a Property & Casualty insurance subject matter expert driving digital transformation: advise on product, underwriting, claims, core system modernization (Guidewire/Duck Creek), ensure California regulatory compliance, map and redesign workflows, integrate Insurtech and Agentic AI for underwriting and STP, and translate business needs into technical requirements for engineering and executive stakeholders.

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.

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.

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.

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

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.

The AI Engineer will build AI-driven workflows, integrating customer requirements into scalable solutions while managing both front-end and back-end elements in a cloud environment.

Design and scale GenAI/LLM infrastructure for multi-GPU environments. Perform GPU profiling and optimization, manage Slurm/OpenShift/Kubernetes clusters, enable NVIDIA GPU stack, build IaC templates, CI/CD automation, and support production deployments and client engagements for GenAI workloads.

Lead cloud migration and platform engineering efforts, designing AWS architectures and migration plans from on-prem VMware to AWS. Perform migration assessments, tooling selection, wave planning, dependency analysis, security/compliance alignment, OS and database troubleshooting, and optimize post-migration performance while collaborating with stakeholders and platform teams.

Lead application migration and modernization initiatives to AWS, utilizing cloud-native practices and providing technical leadership for development teams.

Seeking a Senior Data Scientist to lead predictive analytics and machine learning initiatives. Responsibilities include building ML models, data management, and mentoring junior data scientists. Must have expertise in AWS and strong statistical knowledge.

As a Technical Program Manager, you will lead AI/ML initiatives, ensure project delivery, manage stakeholders, and align technical strategies with business objectives.

The Sales Leader will drive AI and data services for AWS clients in the CPG sector, maintaining executive relationships and leading sales initiatives.

Manage and expand insurance accounts, driving growth through AI and cloud solutions, while collaborating with internal teams and maintaining client relationships.

The Strategic Account Manager will drive growth in healthcare accounts, build executive relationships, and manage sales cycles while offering AI, cloud, and data solutions.

Design, research, and deliver LLM and GenAI solutions for healthcare SaaS at scale: architect systems, handle healthcare data, implement PEFT and RAG pipelines, ensure responsible AI, mentor teams, and translate technical outcomes to business impact.

As a Senior Data Engineer, you will design and maintain scalable data pipelines, focusing on architecture, ingestion, storage, and analytics on GCP. You'll collaborate with stakeholders and optimize data structures for performance while ensuring adherence to data governance and compliance standards.