Top Tech Jobs & Startup Jobs

Lead design, build, evaluate, and productionize LLM, generative AI, and advanced ML solutions. Architect RAG, embeddings, vector search, knowledge graphs, and MLOps/LLMOps pipelines. Ensure model governance, Responsible AI, monitoring, and enterprise scalability. Collaborate with stakeholders, mentor data scientists, and drive adoption of reusable AI assets and best practices.

Lead day-to-day securities finance operations including high-volume international loans, recalls, broker returns, contract compare, billing, settlements and collateral management. Manage a multi-location team to meet SLAs/KPIs, resolve counterparty and pricing issues, drive process improvements, ensure risk controls, and coordinate with traders, corporate actions, and global SSGM teams.

Lead full-stack platform engineering strategy and execution across multiple pods. Define architecture guardrails, standards, and governance; drive modernization, resilience, observability, CI/CD, and developer experience; align investments with business priorities; hire and mentor engineering leaders; represent engineering in executive forums; and ensure delivery, operational excellence, and adoption of platform tooling and practices.

Join the GenAI Center to design and run LLM experiments and fine-tuning (LoRA, QLoRA), support benchmarking and evaluation, prepare training data, document results, and contribute to applied generative-model research.

Lead end-to-end design, development, deployment, and monitoring of AI/ML and LLM-based solutions. Architect generative AI, prompt engineering, embeddings, vector search, RAG, and knowledge-graph capabilities. Partner with engineering, platform, and governance teams to productionize models, ensure Responsible AI and MRM compliance, and mentor data scientists.

Build and maintain scalable backend data pipelines, ETL/ELT workflows, and structured knowledge assets for enterprise AI. Support RAG pipelines, vector indexing, knowledge graphs, data modeling, metadata tagging, data quality checks, and pipeline optimization while participating in engineering processes.

Design, develop, test, and deploy scalable full‑stack enterprise applications. Build backend services (Python/Java), frontend components (React/Angular), REST APIs, cloud-native deployments (AWS/Azure), CI/CD pipelines, containerized services, and monitoring. Participate in code reviews, agile ceremonies, troubleshooting, and platform reliability improvements.

Lead strategy and architecture for an enterprise agentic AI platform across AWS, Google Cloud, and Azure. Define multi-agent orchestration, security, governance, IAM/RBAC, and runtime standards; drive reliability, scalability, cost and performance optimization; represent platform in executive governance; build engineering leadership and partner with Architecture, Data, and Product teams to deliver compliant, secure, cloud-native agentic solutions.

Lead enterprise product strategy for an agentic AI/GenAI platform, set governance and prioritization, drive adoption across business lines, mentor product owners, partner with Architecture/Engineering/Data teams, define roadmaps, metrics, and ensure agile execution.

Lead business, process, and data analysis for complex data and visualization projects supporting Alternative Investments. Consult with business units to gather requirements, evaluate solutions, define implementation needs, and communicate decisions to stakeholders and scrum teams. Provide subject-matter expertise on production processes, controls, and operations while managing multiple concurrent deliverables and driving timely outcomes.