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Lead firm-wide AI security across the full lifecycle, providing technical leadership for securing AI systems while enabling innovation. As a principal-level individual contributor, you will shape technical direction, define design patterns, and influence governance on AI risk, resilience and controls. You will collaborate across research engineering, platform engineering, security and risk teams to implement secure design principles, guardrails, and robust identity, integrity and logging for AI systems. You will mentor engineers, perform threat modelling, and drive firm-wide AI governance and risk strategy.

Join G-Research as a Network Automation Engineer to transform how networking is delivered across its global infrastructure. You will operate at the intersection of networking and software engineering, building automation frameworks, APIs, and tooling to make networks scalable, self-service, and production-ready. The role involves designing and shipping systems for large-scale compute and research environments, with hands-on work on infrastructure-as-code (Python, Ansible, Terraform, Jinja2) and integration into CI/CD pipelines. You will collaborate with Network, Platform, and Security teams to improve observability, reliability, and incident response.

Lead the model validation function for AI initiatives within Scotiabank's Global Risk Management. Develop and implement validation methodologies, governance, and oversight for AI/ML models used in risk management. Oversee validation activities, monitor model performance, and ensure compliance with model risk management standards. Partner with risk teams and model developers to drive risk-aware decision making and model improvements.

Gestor de Seguridad de Sistemas responsable de apoyar la integridad, confidencialidad y continuidad de la Seguridad de la Información del Grupo Scotiabank. Sus responsabilidades incluyen la integración segura de nuevas versiones de código en ambientes productivos, comunicar expectativas de clientes y asegurar que solo versiones autorizadas y probadas se desplieguen. Liderar la automatización de pruebas de seguridad, despliegues y monitoreo continuo usando IaC, e impulsar soluciones de IA para priorización de alertas y predicción de riesgos. Promover buenas prácticas de seguridad, capacitación y mejorar controles de seguridad mediante enfoque shift-left.

Java Backend Developer needed to design and build scalable server-side solutions using Java and Spring Boot. The role focuses on microservices, RESTful APIs, messaging (Kafka, TIBCO EMS, IBM MQ), and data persistence with SQL/NoSQL databases. You will collaborate with cross-functional teams in an Agile environment, contribute to CI/CD practices, and mentor junior engineers. This is a hybrid role based in Jersey City, NJ, with a salary range of USD 95,770 to 133,630.

We are seeking a highly skilled Machine Learning Engineer to join Citi's technology team at VP level. The role focuses on designing, developing, and deploying cutting-edge applications that leverage Generative AI and Large Language Models (LLMs), and architecting end-to-end platform services for scalability, reliability, and performance. Responsibilities include architecting AI solutions, implementing RAG techniques with VectorRAG and GraphRAG, building AI workflows, and driving DevOps practices with CI/CD, containerization, and automated testing. You will own projects end-to-end, lead rapid POCs, manage risk and compliance, and collaborate with cross-functional teams to deliver GenAI use cases across Citi.

Lead design, development, and deployment of AI-driven solutions that leverage Generative AI and Large Language Models. Architect end-to-end platform services focused on scalability, reliability, and performance to support Citi's global business lines. Drive RAG-based implementations using VectorRAG and GraphRAG, develop AI workflows, and enforce DevOps best practices with CI/CD, Docker, and Kubernetes. Own projects from concept to deployment, proactively mitigate risks, and collaborate with cross-functional teams to drive innovation in AI.

We are seeking a Senior Java application developer for Morgan Stanley's Tax Tech Group within the Operations Technology (OT) Tax Technology area. The role involves ownership of design, implementation and maintenance of software components, participating in design and code reviews, and partnering with vendors to ensure high-quality delivery. The candidate will work across multiple business areas, lead major application development projects, and be involved in the full development lifecycle from system definition to deployment. This position offers opportunities to extend technical knowledge through challenging projects and to learn about the financial industry through stakeholders and events.

Join Morgan Stanley as a Business Analyst to drive requirements, support the technical redesign, and align platform strategy with business goals. The role requires fluency in Java development tools, Spring, and database interfaces, and involves collaboration with IT, QA, and cross-functional teams across Wealth Management. You will document business and functional requirements, data lineage, and governance, become a SME for banking product data, and assist with QA/testing and audit responses. You’ll lead requirements lifecycle from elicitation through backlog grooming, and help identify risks and dependencies to ensure smooth delivery.

Director-level QA Automation Engineer to lead QA efforts and drive test automation initiatives across multiple projects within the department. Own the full Software Testing Lifecycles, including Functional, Regression, and Performance testing, ensuring comprehensive coverage and quality assurance. Design and implement QA strategies with a focus on test automation, develop and maintain test automation frameworks, and collaborate with development teams to embed quality practices throughout the project lifecycle.