Top Tech Jobs & Startup Jobs in NYC, NY

Leads Finance transformation initiatives involving strategic projects, process improvement, solution design, operating model enhancements, automation, and portfolio management. Partners with Finance and cross-functional leaders to define requirements, develop solutions, execute initiatives, manage dependencies and budgets, report progress, and measure value realization. Supports change management, executive communications, capability roadmaps, prioritization, and performance measurement across Finance investments.

Leads a 40+ person IT procurement and supplier management organization supporting software, cloud, infrastructure, hardware, telecommunications, labor, consulting, and managed services. Partners with technology executives to develop category strategies, negotiate complex agreements, optimize costs, manage supplier performance and risk, improve procurement processes, and deliver enterprise value. Builds a technology-enabled operating model using analytics, automation, AI, and contract intelligence while developing high-performing teams and strengthening supplier governance.

Leads hands-on design and delivery of production agentic AI systems for the NBA platform. Builds multi-step AI workflows, integrates LLMs, implements RAG and vector search, develops evaluation and reliability frameworks, and embeds AI-powered analysis into user-facing interfaces. Leads a small engineering team and contractors, partners with product and frontend teams, and ensures safe, auditable AI operation in a regulated healthcare environment.

Leads cross-functional product initiatives supporting clinical care management and enterprise technology solutions. Translates business needs into scalable enhancements, coordinates priorities and workstreams, manages risks and timelines, communicates with stakeholders, and partners with technology and Agile teams. Responsibilities include requirements documentation, testing coordination, product adoption, issue resolution, process improvement, and continuous improvement across clinical platforms, telephony, data systems, and enterprise architecture.

Build and evolve Humana’s NBA Action Library and Command Center using React, TypeScript, Node.js, PostgreSQL, and Kafka. Develop accessible front-end experiences, REST APIs, data models, integrations, automated tests, and reliable state-driven workflows. Collaborate with product, design, and platform teams to deliver secure, scalable software supporting action creation, governance, versioning, preview, and publishing.

Develop and maintain a Java and Drools business rules engine governing eligibility, suppression, frequency, and consent. Build Spring services, REST APIs, and Kafka integrations; ensure correctness, performance, testing, resiliency, and compliance in a PHI-handling environment. Collaborate with Product and compliance teams, participate in code reviews, and support cloud-based Kubernetes deployments.

Develop and operate reinforcement learning systems powering Humana’s Next Best Action platform. Responsibilities include RL algorithm development, reward and constraint design, simulation and backtesting, distributed Databricks and Ray RLlib training, PySpark feature engineering, MLflow model governance, production deployment, safety evaluation, and integration with rules engines and feedback pipelines. The role also requires explainability, auditability, and collaboration with healthcare, data, platform, and compliance teams.

Maintain and improve a complex healthcare platform spanning rules engines, applications, orchestration, event streaming, and data pipelines. Diagnose production issues, improve reliability, observability, performance, and scalability, implement focused features, write tests, participate in reviews, support on-call incident response, and lead root-cause analysis. Collaborate with delivery and decision intelligence teams to assume long-term ownership of platform components.

Build, deploy, and operate production machine learning and decisioning pipelines for Humana’s Decision Intelligence Platform. Responsibilities include MLOps, feature engineering, scoring workflows, monitoring, optimization-aware decisioning, reinforcement learning, simulation, constrained optimization, and large-scale data processing. The role partners with engineering and product teams to deliver reliable, scalable, auditable systems while addressing clinical eligibility, operational constraints, policy failure modes, and regulated-domain requirements.