Top Tech Jobs & Startup Jobs in NYC, NY

Leads data science initiatives for customer financial resiliency, partnering with engineers and product managers. Builds, validates, implements, and productionizes supervised and reinforcement learning models across large-scale data. Uses Python, cloud platforms, open-source machine learning tools, and statistical methods to deliver personalized customer solutions. Translates complex analyses into business outcomes, evaluates emerging technologies, and develops team talent.

Leads full-stack software engineering initiatives, mentors developers, and delivers cloud-based solutions using distributed microservices and modern frameworks. Responsibilities include defining service architectures, building APIs, managing databases and containerized systems, improving performance, reducing technical debt, establishing engineering standards, and influencing technology strategy. The role requires collaboration with product managers, architects, and Agile teams while supporting regulatory business needs.

Leads enterprise technical programs and strategic platform roadmaps focused on modernization, scalability, resilience, and business alignment. Owns executive communications, program governance, investment prioritization, and architectural decisions. Establishes TPM operating models and best practices, mentors TPM leaders, and drives delivery accountability across multiple domains. The role requires extensive experience with distributed systems, cloud architecture, Agile delivery, large-scale platforms, regulated environments, and cross-functional technical leadership.

Leads software engineering projects and development teams building full-stack, cloud-based solutions using distributed microservices. Provides technical leadership across Agile teams, defines service boundaries and integration patterns, mentors engineers, establishes coding standards, and improves system performance. Develops and maintains APIs, databases, CI/CD pipelines, infrastructure, and automated testing while evaluating emerging technologies and reducing technical debt.

Design and deliver enterprise-scale AI systems, including foundation model training, LLM inference, agentic workflows, vector search, guardrails, evaluation, governance, and observability. Set architecture and optimization strategies for scalable, cost-efficient, responsible AI platforms. Lead model routing, caching, orchestration, and cloud deployments while mentoring engineers, influencing stakeholders, and advancing AI research into production.

Lead engineering projects and developers building cloud-based, full-stack risk management solutions. Design distributed microservices, APIs, integrations, and reusable frameworks; establish engineering standards; mentor engineers; collaborate with product managers and architects; and improve system performance, observability, reliability, and technical debt. Use modern programming languages, databases, containers, AWS services, CI/CD, infrastructure as code, automated testing, and AI-assisted development tools.

Leads information security consulting for an enterprise business line, covering infrastructure, data, network, cloud, access management, resiliency, and application security. The role drives cybersecurity governance, capability maturation, risk assessments, architecture reviews, threat and vulnerability analysis, security integration into development, executive reporting, and risk remediation. It also provides specialized support on information security issues and partners with leadership to anticipate security needs.

Design, develop, deploy, and support scalable AI systems, including foundation model training, LLM inference, agentic workflows, similarity search, guardrails, evaluation, governance, and observability. Optimize model performance, cost, latency, throughput, and hardware utilization. Define AI architecture, reliability objectives, and technical roadmaps while ensuring security, compliance, and ethical alignment. Lead technical reviews and mentor engineering teams across complex AI product initiatives.

Build and operate an agentic workflow orchestration runtime for AI-generated marketing content. Develop generator and critic agents, parallel orchestration, bounded revision loops, LLM gateway integrations, rate limiting, backpressure, and observability. Lead technical projects and developers, deliver cloud-based microservices and full-stack solutions, mentor engineers, establish coding standards, and collaborate with product managers. The role requires software engineering, cloud, database, API, CI/CD, infrastructure, testing, and distributed-systems expertise.

Lead full-stack engineering initiatives and developer teams building cloud-based, distributed microservices and full-stack systems. Design service boundaries, APIs, reusable frameworks, and technical standards; mentor engineers; partner with product managers and architects; improve performance and reduce technical debt. The role requires hands-on work with multiple programming languages, databases, cloud platforms, containers, CI/CD, infrastructure as code, automated testing, observability, and emerging AI development tools.