AI/ML Engineer

AI/ML Engineer

Location(s) Toronto, ON, CA Work model Hybrid Date posted September 14, 2026 Job requisition 182187

At Vanguard's Corporate Services division, we are seeking a Machine Learning/ AI Engineer to design, build, and scale enterprise AI/ML solutions that drive business innovation and support the development, deployment, and operationalization of intelligent applications. The ideal candidate combines strong software engineering, machine learning, and cloud expertise with hands-on experience delivering production-grade AI solutions. This role will partner closely with business stakeholders, product teams, and engineers to solve complex business problems using machine learning, Generative AI, and advanced analytics.

Responsibilities

• Design, develop, and deploy end-to-end AI/ML solutions, including data ingestion, feature engineering, model training, deployment, monitoring, and lifecycle management.
• Build scalable, cloud-native AI/ML applications and services using AWS technologies such as SageMaker, ECS, Lambda, S3, EventBridge, and Step Functions.
• Develop and maintain machine learning, data engineering, and MLOps pipelines supporting batch and real-time workloads.
• Design and implement Generative AI solutions leveraging Large Language Models (LLMs), Advanced RAG, vector databases, knowledge retrieval systems, agentic AI frameworks, and fine-tuning techniques.
• Design and utilize knowledge graphs, graph databases, and relationship-based analytics to enhance enterprise intelligence and decision-making.
• Partner with business stakeholders to translate business challenges into scalable analytical and AI-driven solutions.
• Conduct data discovery and exploratory analysis, establish data lineage, and perform root cause analysis to ensure data quality and reliability.
• Implement model monitoring, observability, alerting, and operational support processes for production AI/ML solutions.
• Ensure adherence to enterprise AI governance, security, Responsible AI, privacy, and model risk management standards.
• Serve as a machine learning engineering subject matter expert, lead technical design discussions, and mentor team members on AI/ML best practices.
• Stay current on emerging AI technologies and evaluate their application to business opportunities.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or a related technical field; Master's degree preferred.

• 6+ years of experience in Machine Learning Engineering, Data Engineering, Software Engineering, or a related discipline.

• 3+ years of hands-on experience building scalable data pipelines and ETL solutions using AWS services.

• Strong proficiency in Python and modern software engineering practices.

• Experience deploying and supporting production-grade AI/ML applications in cloud environments, preferably AWS.

• Strong experience with SageMaker, MLOps, CI/CD pipelines, model deployment, monitoring, and Machine Learning Development Lifecycle (MDLC) practices.

• Experience with containerization and orchestration technologies such as Docker, ECS, and Kubernetes.

• Experience with Generative AI technologies, including LLMs, Advanced RAG, vector databases, semantic search, agentic AI frameworks, and enterprise knowledge retrieval systems.

• Experience designing and implementing knowledge graph solutions and graph databases.

• Strong understanding of software engineering fundamentals, including system design, testing, security, observability, and version control.

• Ability to lead technical initiatives, influence architectural decisions, and collaborate effectively across business and technology teams.

• Preferred Experience

• Real-time data processing and streaming technologies such as Kafka, Flink, or Kinesis.

• AI governance, Responsible AI, and model risk management frameworks.

• Enterprise-scale AI platform development and solution architecture.

• How We Work

• Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

• Our commitment to you

• Vanguard takes the same long-term view of your success—at work and in life—with Benefits and Rewards packages that reflect what you care about, throughout all the phases and stages of your life.

Our Total Rewards programs provide you and your loved ones with wellness support for key areas in your life:

• Financial wellness

• Physical wellness

• Personal wellness

• Learn more about our complete benefits and rewards package

• Our commitment to equal employment opportunity

• Vanguard is an equal opportunity employer. Vanguard is committed to providing all crew members a working environment that is free from discrimination, prejudice and bias. Through this Equal Employment Opportunity (EEO) Policy, Vanguard reaffirms its commitment to equal employment opportunity for all applicants and crew members without regard to race, color, national origin or ancestry, religion, gender, sex, sexual orientation, gender identity or expression, age, disability, marital status, veteran or military status. In addition, Vanguard prohibits discrimination based on genetic information, as well as any other characteristic protected by federal, state or local law.

• Applicants with disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain state or local laws. A reasonable accommodation is a change in the way things are normally done which will ensure an equal employment opportunity without imposing undue hardship on Vanguard.