Vice President, AI Engineer

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 to optimize 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 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 to ensure reliability and compliance.
• Collaborate with stakeholders to translate business needs into effective AI-driven solutions.

Requirements

• Bachelor's or Graduate degree in Computer Science, Engineering, Physics, or a related technical field.
• Strong programming skills in Python and experience with ML frameworks such as TensorFlow or PyTorch.
• Deep understanding of LLM architectures and applied generative AI techniques.
• Familiarity with Agentic AI tools and orchestration frameworks (e.g., Langfuse, LangGraph, or Milvus).
• Experience with distributed computing, containerization (Docker, Kubernetes), and infrastructure management.
• Knowledge of reinforcement learning and multi-agent systems.
• Strong problem-solving skills and an engineering mindset.

Preferred Qualifications

• Financial domain knowledge, including investment banking concepts and trading strategies.
• Certifications in AI engineering, cloud platforms, or cybersecurity.
• Experience with privacy-preserving AI techniques and Responsible AI frameworks.

Benefits

• Competitive base salary ranging from $120,000-$150,000 CAD.
• Comprehensive health insurance and accident/life insurance.
• Retirement savings plans.
• Tuition reimbursement and professional development opportunities.
• Performance-based incentives and discretionary bonuses.

About the Company

BMO Capital Markets is a leading, full-service North American-based financial services provider. As a member of BMO Financial Group, we offer corporate, institutional, and government clients access to a complete range of investment and corporate banking products and services. Our Data Cognition Team leverages cutting-edge AI research to solve complex business challenges and drive strategic transformation across our global divisions.