Top Tech Jobs & Startup Jobs in NYC, NY

Leads the architecture, development, deployment, and optimization of large-scale AI systems, including foundation model training, LLM inference, agentic workflows, similarity search, guardrails, evaluation, governance, and observability. Establishes enterprise AI architecture, performance and safety standards, and multi-year platform strategies. Partners across engineering, research, product, and program management while mentoring technical leaders and driving responsible AI adoption.

Lead a portfolio of technology projects and developer teams building cloud-based, full-stack risk management solutions. Provide technical leadership across Agile teams, define service architectures and integration patterns, mentor engineers, establish engineering standards, and improve system performance. Develop distributed microservices and AI-powered applications using modern programming languages, databases, cloud platforms, containers, APIs, CI/CD, infrastructure as code, and automated testing. Partner with product managers, architects, and cross-functional teams to deliver regulatory technology solutions.

Design, develop, deploy, and support scalable AI systems, including foundation models, LLM inference, agentic workflows, vector search, guardrails, evaluation, and observability. Optimize model training and inference for cost, latency, throughput, and hardware utilization. Own complex AI architecture, reliability objectives, governance, security, and compliance while collaborating across engineering, research, product, and program teams. Lead technical reviews, shape foundational AI roadmaps, and mentor senior technical staff.

Leads product strategy for the Claims Workflow team, overseeing four engineering pods and modernizing operational workflow platforms. The role focuses on reducing friction across dispute lifecycles, improving associate and customer experiences, managing operational risk, translating business strategy into digital products, and driving cross-functional alignment and execution.

Leads full-stack engineering teams and major technology initiatives, setting technical strategy, managing engineering talent, and delivering reliable cloud-native systems. Oversees distributed microservices, APIs, databases, and scalable software architecture while partnering with product, architecture, and platform leaders. Establishes technology roadmaps, investment priorities, engineering OKRs, succession plans, and organizational strategies. Guides Agile delivery, mentors engineers, evaluates code, and aligns engineering execution with enterprise and regulatory objectives.

Leads software engineering and architecture for Card Tech, combining hands-on development with technical mentorship. Defines technical vision, modernizes monoliths into microservices and event-driven platforms, establishes API and design standards, and drives scalable, secure, operable solutions. Partners across divisions, mentors senior engineers, evaluates AI-generated code, and leads architectural strategy and engineering excellence initiatives.

Design, develop, deploy, and support large-scale AI systems, including foundation model training, LLM inference, agentic workflows, similarity search, guardrails, evaluation, governance, and observability. Establish enterprise AI architecture standards, optimize model performance and infrastructure costs, lead hybrid and multi-model orchestration, promote responsible AI, and mentor engineering teams while influencing technical strategy and research-to-production processes.

Own and prioritize card payment product roadmaps, translate business epics into features and user stories, define acceptance criteria, and guide MVP delivery. Collaborate with designers, engineers, data scientists, and stakeholders in an agile environment to develop customer-facing payment experiences across iOS, Android, and Web. Conduct hypothesis-driven analysis, manage risk, communicate product strategy, and drive innovative, resilient payment platform solutions.

Lead full-stack engineering projects and developers building cloud-based, AI-powered risk management solutions. Design distributed microservices, APIs, databases, and user-facing systems using modern programming languages and AWS technologies. Provide technical leadership across Agile teams, establish engineering standards, mentor engineers, improve system performance, reduce technical debt, and influence long-term technology strategy while supporting regulatory requirements.

Build and lead full-stack, cloud-based software solutions using distributed systems, microservices, APIs, databases, and modern programming languages. Lead technology projects and developer teams, establish engineering standards, partner with product managers and architects, improve system performance, reduce technical debt, mentor engineers, and influence long-term technology strategy across Agile teams.