Top Tech Jobs & Startup Jobs

Ten-week Advanced Analytics internship supporting data querying, data preparation, exploratory analysis, statistical modeling, machine learning, test design, and proof-of-concept development. The intern will apply AI and generative AI tools responsibly, evaluate analytical outputs and model performance, collaborate across business functions, complete analytics projects, and present findings to stakeholders.

Lead the design and delivery of enterprise AI platform capabilities and production agentic AI solutions. Build multi-agent systems, RAG and knowledge management solutions, cloud-native infrastructure, and MLOps/LLMOps capabilities. Partner with business, architecture, security, legal, and risk stakeholders; influence architecture decisions; mentor engineers; and establish reusable engineering, governance, monitoring, and operational practices.

Build enterprise AI platform capabilities and production AI applications, including agentic workflows, retrieval-augmented generation, semantic search, vector databases, cloud-native services, and AI model operations. Collaborate with senior engineers on orchestration, developer tooling, governance, security, responsible AI, monitoring, testing, and compliance. Use Python, Google Cloud Platform, Kubernetes, CI/CD, and infrastructure as code while developing scalable AI solutions.

Coordinates operational service delivery for national group benefits clients, serving as the liaison between clients, employees, HR teams, and New York Life. Manages exceptions, eligibility discrepancies, data reconciliation, enrollment and administration activities, escalations, dashboards, governance materials, and cross-functional issue resolution. Provides benefits expertise, supports claims and employee inquiries, maintains documentation and data accuracy, and recommends process improvements to strengthen client satisfaction and operational efficiency.

Leads onsite service relationships for a New York Life general office, serving as liaison to agency managers, recruiters, and agents. Resolves escalations, oversees onsite specialists, supports sales engagement, trains users on AI and digital tools, coordinates events, drives adoption of new capabilities, manages local facilities and technology support, and oversees financial processes. Requires a bachelor's degree, strong communication and relationship-building skills, Microsoft Office and SharePoint proficiency, and completion of FINRA SIE and Series 99 exams within six months.

Designs and delivers enterprise AI platform capabilities and production-ready agentic applications. Builds multi-agent systems, RAG and knowledge platforms, orchestration frameworks, cloud-native services, and developer tooling. Implements MLOps and LLMOps for deployment, evaluation, monitoring, observability, and optimization. Partners with stakeholders, contributes to architecture and engineering standards, and independently owns initiatives from design through production deployment.

Supports operations integration and business growth strategy initiatives through cross-functional program management, competitive benchmarking, market research, financial modeling, process re-engineering, and operating model design. Leads transformation and technology initiatives, manages risks and dependencies, develops governance structures, defines business requirements, evaluates products and platforms, and prepares decision materials for leadership committees. Requires investment management or consulting experience, strong analytical and project management skills, and 10% travel.

Oversee accounting, reporting, and operational activities for private equity funds. Review fund administrator deliverables, financial transactions, capital activity, NAV packages, waterfalls, carried interest, and performance metrics. Coordinate audits and financial statement issuance, manage fund and investor data in Investran, interpret partnership agreements, maintain controls, address reporting requests, and collaborate across internal and external stakeholders. The role may also supervise junior team members and support process improvement initiatives.

Leads end-to-end delivery of production AI, generative AI, and agentic AI solutions. Designs architectures using multi-agent orchestration, RAG, hybrid retrieval, and human-in-the-loop workflows; establishes evaluation, testing, observability, safety, and responsible AI practices. Partners with business and technical teams to measure value, mentors engineers and data scientists, defines engineering standards, and influences enterprise AI strategy and roadmaps.

Leads the design, predictive modeling, simulation, and modernization of field compensation programs. Applies actuarial methods, statistics, AI, machine learning, and quantitative analysis to evaluate financial impact, participant behavior, sales outcomes, and plan effectiveness. Partners with executive, finance, technology, analytics, and compensation teams to operationalize designs in Varicent, support governance and strategic decisions, develop dashboards, and advance automation. Mentors analysts and leads cross-functional modernization initiatives.