Top AI & Machine Learning Jobs

Design, prototype, and productionize agentic LLM systems: frame problems, build datasets, develop models/agents, evaluate and monitor performance, and deploy robust, observable production code while partnering with cross-functional teams.

Design, build, and maintain secure, scalable employee-facing software and AI-enabled tooling. Lead implementation of AI-assisted engineering practices, collaborate cross-functionally, apply CI/CD and cloud-native patterns (preferably AWS), and ensure resiliency, security, and validation standards across the SDLC.

Lead Principal Investment Risk data strategy, governance, and data-product delivery. Design and operationalize applied AI/ML (LLMs, agents, traditional ML), ensure data quality, lineage, controls, verification/validation, and drive end-to-end production adoption with cross-functional stakeholders.

Lead development of AI‑first analytics and data products, modernize the data mesh, build autonomous human‑in‑the‑loop agents for schema drift and governance, design scalable batch and real‑time pipelines, enforce lineage/DQ/governance, and provide technical leadership across analytics, platform, risk, and domain teams.

Lead design and implement scalable, secure ML and LLM-powered solutions on cloud. Produce production-quality Python code, build data pipelines and model inference services, drive AI governance and SDLC best practices, mentor teams, and collaborate cross-functionally to operationalize GenAI capabilities.

Lead end-to-end AI model development and deployment, design and operationalize multi-agent systems with HITL controls, implement drift monitoring and retraining, define evaluation frameworks, embed AI into workflows using cloud/data mesh/knowledge bases, integrate analytics into operations, and communicate findings to senior leadership.

Lead design, build, and operate cloud-native AI/ML platform infrastructure and shared services. Architect scalable, secure GPU-enabled training and inference environments, implement IaC and automation, support model deployment/serving pipelines, drive observability and CI/CD, and promote responsible AI practices and enterprise AI-assisted development across teams.

Lead end-to-end Payments AI transformation projects: plan, govern, and coordinate delivery with Product, Technology and firmwide stakeholders. Drive cross-functional teams, establish governance, track success metrics, manage risks, and ensure data and solutions are implemented to meet strategic objectives.

Lead firmwide AI transformation by defining portfolio strategy, prioritizing high-impact AI initiatives, building governance and measurement frameworks, advising senior leaders with data-driven narratives, clearing execution roadblocks, and managing a team to deliver measurable strategic and financial value.

Lead rollout strategy and adoption of AI products across the Corporate & Investment Bank. Assess AI tools, influence product roadmaps, track adoption and ROI, enable client-facing teams with AI training, provide technical advisory to clients, and synthesize insights and risks for senior management.