Top Tech Jobs & Startup Jobs in NYC, NY

The role involves supporting mainframe software operations, managing vendor relationships, developing applications, and performing system optimizations and testing.

Operate and scale an enterprise vulnerability management program across infrastructure, cloud, and applications. Lead platform administration (Qualys/Tenable), ensure scanning and asset coverage, analyze and prioritize vulnerabilities, drive remediation with engineering teams, automate intake/tracking, support compliance (NIST/FedRAMP/HIPAA), produce executive reporting, and mentor junior engineers.

Lead design and delivery of enterprise BI and analytics solutions for healthcare coding and clinical data. Define BI architecture, data models, ETL pipelines, cloud-native analytics, and implement agentic/generative AI analytics for global customers while guiding engineering best practices and mentoring teams.

Lead enterprise data strategy and governance: define strategy, design governance frameworks, partner on scalable cloud and MDM platforms, establish executive governance, and drive change to embed trusted, data-driven decision-making across the organization.

Lead end-to-end UX/UI design for healthcare products, conducting research, creating wireframes, prototypes and visual designs, maintaining accessibility and brand standards, mentoring junior designers, and collaborating with product, engineering, and marketing to deliver usable, compliant solutions.

Design, build, and deploy enterprise-scale agentic and generative AI systems for healthcare. Architect multi-agent frameworks, implement advanced RAG and multimodal data pipelines, optimize LLM performance and latency, establish MLOps/CI-CD and secure containerized deployments, and collaborate with stakeholders to ensure clinical safety and compliance (HIPAA/HITRUST). Mentor developers and produce production-grade documentation.

Design, implement, and evaluate advanced NLP/NLU systems for clinical text using transformer and research-oriented neural architectures. Prepare and enrich clinical datasets, run experiments and error analyses, mitigate model risks (bias, drift, hallucination), and partner with ML engineers to deploy models into a compliant cloud environment.

Build and maintain MLOps pipelines, deploy and monitor ML models as scalable services, transform and integrate healthcare data (FHIR/HL7), ensure reproducible feature management, and uphold HIPAA/HITRUST security for production ML in clinical systems.

The role involves developing NLP systems for medical document analysis using advanced deep learning techniques, collaborating with domain experts, and deploying models in a healthcare setting.

Lead commercial, strategic and tactical management of electronics components and contract manufacturers to ensure product availability. Develop supplier relationships, negotiate contracts, run RFPs/RFQs, perform cost and risk analyses, support NPI, and partner cross-functionally to improve supply chain performance, cost, quality, and lead times.