Top Tech Jobs & Startup Jobs in NYC, NY

Build and deploy machine learning models and scoring platforms for credit decisioning and valuation. Analyze large-scale financial and textual datasets using statistical modeling, cloud technologies, and open-source tools. Responsibilities include model design, training, validation, implementation, analytical tool development, alternative data analysis, and collaboration with software engineering and product teams to deliver scalable credit products.

Manage and support Google Workspace and cross-platform integrations, including API-based connectivity, scripting, automation, monitoring, security, and platform resiliency. Provide technical support, documentation, and user training; remediate vulnerabilities; collaborate with architecture and software engineering teams; and implement cloud, container orchestration, infrastructure-as-code, deployment, testing, and observability solutions.

Design, develop, deploy, and support scalable AI systems, including foundation models, LLM inference, agentic workflows, similarity search, guardrails, evaluation, governance, and observability. Optimize model performance, cost, latency, throughput, and hardware utilization. Own complex AI architecture, define reliability objectives, lead technical reviews, ensure security and compliance, contribute to platform roadmaps, and mentor engineering teams.

Lead a greenfield enterprise supplier management product from conception through delivery. Drive product strategy, customer-centered innovation, technology-enabled solutions, risk mitigation, and cross-functional organizational alignment. Build an enterprise-scale third-party management system that improves Capital One’s supplier relationships and operations. Translate business strategy and analysis into digital products while delivering sustainable business value and resilient experiences.

Design, develop, deploy, optimize, and support foundational AI systems, including foundation model training, LLM inference, agentic workflows, vector search, guardrails, evaluation, and observability. Lead architecture, cost-performance governance, design reviews, and technical roadmaps for scalable production AI. Optimize model performance, hardware utilization, latency, throughput, and cost while ensuring responsible AI standards. Mentor senior technical staff and collaborate with engineers, researchers, program managers, and product managers.

Design, develop, deploy, optimize, and support production AI systems, including foundation model training, LLM inference, agentic workflows, vector search, guardrails, evaluation, governance, and observability. Lead architecture and cost-performance optimization across scalable AI platforms, establish engineering standards, contribute to long-term technical roadmaps, and mentor senior AI engineers.

Conduct applied AI research and lead development of foundation models from design through deployment. Partner with data scientists, engineers, and product managers to deliver scalable AI products. Research large deep learning models, optimization, self-supervised learning, robustness, explainability, and reinforcement learning from human feedback. Lead research initiatives, translate findings into production systems, and guide junior researchers or engineers.

Leads enterprise technical programs and cross-platform investment planning, aligning roadmaps, architecture, dependencies, risks, and measurable platform outcomes. Establishes TPM operating models, maturity frameworks, tooling, and delivery accountability across engineering teams. Serves as an executive escalation point, influences tradeoffs involving speed, cost, and resiliency, and develops TPM capabilities across the organization. Requires extensive experience managing complex technical programs, distributed systems, cloud platforms, Agile delivery, and highly regulated environments.

Design, develop, deploy, and optimize large-scale AI systems, including foundation models, LLM inference, agentic workflows, vector search, guardrails, and multi-model orchestration. Lead cost-performance governance, technical design reviews, AI engineering standards, and long-term platform strategy. Apply state-of-the-art optimization techniques to improve model scalability, latency, throughput, hardware utilization, and cost. Mentor senior technical leaders and collaborate with engineers, scientists, product managers, and program managers.

Owns product discovery, delivery, iteration, requirements gathering, user research, engineering translation, and roadmap prioritization for Capital One’s enterprise risk management, compliance, and ethics products. The role partners across product, data, technology, design, engineering, and business stakeholders to develop customer-focused digital solutions, solve complex problems, mitigate product risks, and lead transformational initiatives.