Top Tech Jobs & Startup Jobs in NYC, NY

Write emotional, persuasive brand and marketing copy for campaigns, advisor and client communications, digital and video content. Simplify complex financial topics, develop messaging frameworks and value propositions, collaborate with strategy and creative partners, present work with strategic context, and manage multiple priorities with attention to detail.

Lead design and build of New York Life's enterprise AI platform and agentic solutions. Work across cloud-native infrastructure, model and agent lifecycle, RAG knowledge systems, multi-agent orchestration, MLOps/LLMOps, governance, CI/CD, observability, and production operations. Partner with security, legal, and architecture to embed responsible AI and deliver production-ready, compliant AI systems.

Work on statistical and machine learning solutions and generative AI (LLMs) projects. Translate business questions into models, perform exploratory analysis, feature engineering, model validation, and communicate results to technical and non-technical stakeholders throughout an 11-week summer internship.

Develop, train, and deploy machine learning and generative AI models in production. Focus on engineering aspects: scalable software, MLOps/DevOps integration, CI/CD pipelines, monitoring (e.g., New Relic), and automation frameworks to ensure model reliability and performance.

Participate in projects to improve and standardize technology operations. Collaborate with cross-functional teams to redesign processes, document improvements, create dashboards and reports, analyze data trends, and identify automation opportunities to increase operational effectiveness and adoption of shared tools and practices.

Senior sales leader responsible for driving diversified growth across life, annuity, LTC, disability, and worksite products. Sets sales strategy, leads and develops front-line and sales leadership, partners with enterprise functions, enforces performance and governance, and represents the field to Home Office to deliver profitable, measurable results.

Develop and maintain cybersecurity solutions; monitor and analyze security events; investigate potential threats; strengthen controls across cloud and on‑prem environments; use security tools, automation, and threat intelligence; support secure code/configuration changes and vulnerability remediation; collaborate with engineering and infrastructure teams and leverage AI-powered technologies for detection and response.

Lead design and implementation of the enterprise AI platform, defining reference architectures, reusable patterns, and complex services (lifecycle registries, control plane, memory, model abstraction). Build agentic AI capabilities, ensure secure governed deployments, drive portability and engineering standards, review designs, mentor senior engineers, and deliver production-grade AI systems across cloud-native infrastructure.

Lead and build a small senior AI engineering team to design, build, and operate a governed enterprise AI platform and agentic AI solutions. Define architecture, roadmap, and governance; lead cloud and runtime architecture on Google Cloud; mentor engineers; partner with Security, Risk, and business stakeholders; implement AI FinOps, evaluation, and responsible AI controls; and deliver production-grade generative AI, retrieval, memory, orchestration, and agent lifecycle capabilities.

Design, develop, and enhance secure, scalable software applications using modern programming languages and cloud-native technologies. Collaborate with product, design, and engineering across the SDLC, apply Agile and DevOps practices, and leverage automation and AI-driven tools to improve productivity and code quality.