Top Tech Jobs & Startup Jobs in NYC, NY

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.

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.

Lead the design and implementation of a unified observability platform, focusing on architecting observability pipelines and implementing tools like Prometheus and Grafana on AWS.

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.

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.