Vice President, AI Engineer

Job Description

Application Deadline: Address: 100 King Street West Job Family Group: Capital Mrkts Sales & Service, Data Analytics & Reporting BMO Capital Markets is a leading, full-service North American-based financial services provider, with over 2,700 professionals in 30 locations around the world, including 20 offices in North America, offering corporate, institutional and government clients access to a complete range of investment and corporate banking products and services. BMO Capital Markets is a member of BMO Financial Group (NYSE, TSX: BMO), one of the largest diversified financial services providers in North America with US$1.0 trillion total assets and approximately 54,000 employees as of January 31, 2025. About the Role We are seeking a talented AI Engineer to join our Data Cognition Team at BMO Capital Markets. In this role, you will design, develop, and deploy advanced AI solutions with a focus on Agentic AI, Generative AI, and Large Language Models (LLMs). You will work on applied science and engineering aspects of AI, building scalable, secure, and high-performing systems that deliver value across Investment Banking and Global Markets. Our Team The Data Cognition Team (DCT) at BMO Capital Markets delivers a scalable, customizable, and sustainable suite of AI-enabled products for multiple business units. We leverage cutting-edge AI research and technologies to solve complex business challenges and drive strategic transformation across Investment Banking, Global Markets, and other divisions. Key Responsibilities · Design, develop, and maintain Agentic AI and Generative AI solutions, including multi-agent systems for collaborative decision-making. · Implement distributed compute solutions for AI workloads, optimizing performance and scalability. · Architect and deploy microservice-based AI systems using containerization and infrastructure-as-code tools. · Integrate AI-driven data quality techniques and privacy-preserving technologies into solution designs. · Apply cybersecurity principles to ensure secure AI deployments, particularly for Agentic and Generative AI systems. · Optimize inference pipelines and parallelize processing to reduce latency and improve system performance. · Develop observability and monitoring solutions for AI models and systems, ensuring reliability and compliance. · Collaborate with stakeholders to understand business needs and translate them into AI-driven solutions. · Stay current with emerging AI research, tools, and best practices to continuously improve capabilities. Qualifications · Bachelor’s or Graduate degree in Computer Science, Engineering, Physics, or related technical field. · Strong programming skills in Python and experience with ML frameworks (TensorFlow, PyTorch). · Deep understanding of LLM architectures and applied generative AI techniques. · Familiarity with Agentic AI tools and orchestration frameworks (e.g., Langfuse, LangGraph, Milvus). · Experience with distributed computing, containerization (Dock

Required Skills