Top AI & Machine Learning Jobs

Support Technology Risk Management by applying AI, data, and advanced analytics to identify emerging risks, build scalable automation and reporting, support AI governance, centralize data, and enable enterprise-wide, data-driven risk oversight.

Lead design and implementation of agentic AI-driven automation for infrastructure and platform engineering. Build self-service developer platforms, Python-based automation and APIs, integrate LLMs and AI-assisted tools, define AI standards, collaborate across platform/security/app teams, perform architecture and code reviews, mentor engineers, and improve scalability, reliability, and performance of automation systems.

Lead architecture and implementation of enterprise-scale GenAI platforms and agentic AI systems. Build agent orchestration, context and memory frameworks, integrate LLM APIs and vector databases, drive AI-assisted developer tooling adoption, ensure responsible AI governance, and mentor senior engineers to deliver measurable enterprise impact.

Embed with business and product teams to design, prototype, and industrialize agentic AI solutions (LLMs, RAG, orchestration). Translate business needs into technical designs, ensure governance and compliance, collaborate with technology and control partners, and drive measurable production deployments across regulated banking domains.

Embed with business and technology teams to identify opportunities for agentic AI, design and prototype LLM/RAG-based solutions, and partner with controls and engineering to industrialize production-ready, explainable AI aligned with governance and measurable business outcomes.

Lead strategy and architecture for agentic AI across Commercial and Corporate & Investment Banking. Define reference architectures, governance, standards, and prototypes; advise stakeholders; evaluate technologies and trends; ensure scalable, secure, and compliant AI solutions; and influence enterprise adoption through thought leadership.

Consult on and implement marketing test design and campaign planning using statistical techniques and experimental design. Forecast performance, assess marketing levers, develop a learning agenda, ensure compliance, and advise stakeholders and senior leadership to optimize campaign performance and efficiency.

Lead strategy and architecture for agentic AI across Commercial and Corporate & Investment Banking. Define reference architectures, governance, standards, and build prototypes. Partner with business, risk, compliance, and technology teams to ensure scalable, secure, and responsible AI adoption.

Consult on and implement marketing testing strategies and experimental design to optimize campaign performance. Forecast financial returns, evaluate marketing levers, develop learning agendas, support monthly forecasting, ensure compliance, and advise stakeholders and senior leadership on data-driven campaign decisions.

Lead product strategy and execution for a portfolio of no-code/low-code AI and automation products. Partner with product and technology leaders to define priorities, create roadmaps, establish operating routines, remove execution roadblocks, measure business value, and drive adoption. Develop decision materials, reporting, and governance to improve alignment, resource planning, and continuous improvement across product, business, risk, and technology stakeholders.