Top Tech Jobs & Startup Jobs in NYC, NY

Design, develop, deploy, and support foundational AI systems, including foundation model training, LLM inference, agents, similarity search, guardrails, evaluation, governance, and observability. Optimize AI infrastructure for cost, latency, scalability, throughput, and hardware utilization. Own complex system architecture, define reliability objectives, lead technical reviews, ensure security and compliance, contribute to long-term AI roadmaps, and mentor engineering talent.

Leads full-stack software engineering projects and developer teams building cloud-based, distributed microservices and regulatory solutions. Designs APIs, service boundaries, reusable frameworks, and database integrations; drives technical standards, Agile delivery, refactoring, performance optimization, and operational excellence. Mentors engineers, evaluates emerging technologies, and influences long-term technology strategy using modern programming languages, cloud platforms, containers, CI/CD, observability, and AI-based development tools.

Build and lead frontend architecture for Capital One Travel’s shared platform. Develop scalable micro frontend and Backend-for-Frontend architectures, reusable components, high-performing web experiences, and modern web applications. Provide technical leadership, mentor engineers, improve accessibility and performance, and establish testing, feature flag, canary release, and quality practices. Champion AI-assisted development and collaborate with product managers, designers, and engineering teams to deliver customer-focused features.

Lead architecture and technical strategy for a highly resilient enterprise message delivery platform handling billions of monthly messages. Modernize legacy systems, guide build-versus-buy and vendor strategy, establish governance and compliance controls, build workflow automations, and integrate cloud, AdTech, partner messaging, AI, telemetry, and analytics capabilities. Mentor senior engineers, lead architectural reviews, define engineering standards, and drive innovation across message delivery, orchestration, and integration teams.

Conduct applied AI research and build foundation models across design, training, evaluation, validation, and production implementation. Collaborate with data scientists, engineers, machine learning engineers, and product managers to deliver AI-powered customer experiences. Research emerging methods, develop scalable model and platform code, translate technical findings into business outcomes, and contribute to technical reports or conference publications. The role requires ownership of a research agenda and expertise in deep learning, optimization, robustness, explainability, or model fine-tuning.

Leads product management for Capital One’s Decisioning Platform Rules Lab. Translates stakeholder strategy and complex business needs into an engineering roadmap, develops decisioning capabilities, drives customer-focused digital product solutions, and aligns cross-functional teams. The role requires technology-driven product leadership, integrated problem solving, business focus, and transformational leadership.

Build and optimize foundational AI systems, including LLM inference, agentic workflows, vector search, model evaluation, guardrails, and orchestration pipelines. Lead cost-performance governance, improve model scalability and hardware utilization, shape technical roadmaps, establish AI engineering standards, and mentor senior technical staff. The role requires applying current AI research to reliable, responsible production systems across cloud and large-scale infrastructure.

Leads full-stack engineering teams and large-scale technology programs for Capital One’s Travel checkout platform. Responsibilities include setting technical strategy, building cloud-native distributed systems, managing engineering talent, driving architectural standards, defining roadmaps and investment priorities, and partnering with product and platform leaders. The role involves JavaScript and TypeScript frameworks, microservices, databases, AWS and other cloud technologies, mentoring leaders, and aligning engineering delivery with enterprise goals.

Leads the long-term vision, strategy, architecture, and delivery of Capital One’s automated fraud decisioning platform. Oversees convergence with enterprise decisioning infrastructure, applies LLM and agentic AI capabilities, guides multi-year technical delivery, develops product management talent, manages cross-functional and executive stakeholders, expands platform capabilities across lines of business, and ensures regulatory compliance, risk management, and auditability.

Leads and develops full-stack, cloud-based solutions using distributed microservices, databases, APIs, containers, and AWS technologies. Provides technical leadership across Agile teams, mentors engineers, establishes engineering standards, partners with architects and product managers, reduces technical debt, improves system performance, and evaluates emerging technologies and AI coding tools.