Top Tech Jobs & Startup Jobs

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.

Design and operationalize GenAI-enabled analytics to drive personalization, automation, and decision intelligence. Build and maintain scalable data models and pipelines (DBT, Databricks, Python/SQL). Lead prompt engineering and LLM fine-tuning, conduct feature attribution and ROI modeling, run advanced experiments, and deliver executive-level visual analytics and strategic recommendations across enterprise domains.

Build, automate, and support cloud infrastructure for enterprise applications. Develop infrastructure-as-code solutions, standardized platform patterns, and self-service capabilities. Use AWS, containerization, observability, and automation tools to improve reliability, scalability, deployments, and developer experience while collaborating with engineering and platform teams.

Summer internship focused on building scalable data architectures and pipelines, automating data processes, improving data quality frameworks, and supporting cloud infrastructure. Work includes AWS automation, data warehousing, workflow optimization, platform integration, and operationalizing tools to process structured and unstructured data while leveraging analytics, AI/ML, and standardized pipelines.

10-week sales internship supporting Field Sales and Account Management. Assist business development, strengthen client and broker relationships, learn NYL GBS products, use Salesforce/BenefitFlow/Tableau/Excel and generative AI for analysis, collaborate cross-functionally, participate in mentorship, and deliver a capstone project with stakeholder presentations.

Design, configure, and operate data governance tooling for unstructured and structured data. Implement metadata cataloging, lineage harvesting, automated data quality checks, and governance workflows. Build prototypes, dashboards, and connectors using Python, SQL, Databricks, and Streamlit. Collaborate with stakeholders to define critical data elements, prioritize remediation, produce documentation, and drive tool adoption via trainings and enablement.

Lead strategy and execution for enterprise intelligence by framing complex AI, data, and technology questions; partner with senior leaders to design and deploy intelligence products; create executive- and Board-level communications; run cross-functional initiatives and governance; and support enterprise planning, portfolio management, and adoption of AI-enabled capabilities.

Conduct fundamental credit research and portfolio surveillance for high yield and leveraged loan sectors. Recommend investments, present to the investment committee, work with PMs/traders on relative value and sizing, meet issuers, maintain external research relationships, and prepare industry/portfolio reports to drive alpha and inform portfolio positioning.