# AI/ML Engineer Source: https://realanalystjobs.com/job/ai-ml-engineer-the-vanguard-group-9d3ea9dd AI/ML Engineer at The Vanguard Group, an on-site role based in Toronto, Canada. Posted on 14 September 2026, read from The Vanguard Group's own careers page (Workday), which RealAnalystJobs re-checks daily and removes the role when it closes. Updated 15 November 2026. ## Key facts - Company: [The Vanguard Group](https://realanalystjobs.com/companies/the-vanguard) - Location: Toronto, Canada - Work mode: On-site - Posted: Sep 14, 2026 - Employment type: Full time - Source: The Vanguard Group's careers page (Workday), re-checked daily Skills: [Python](https://realanalystjobs.com/skills/python), AWS ## Visa sponsorship The posting does not say. The Vanguard Group had H-1B petitions approved for 214 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/the-vanguard#h1b-record) ## About this role 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. Description from The Vanguard Group's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/ai-ml-engineer-the-vanguard-group-9d3ea9dd) and use Apply now there to reach the employer's application. The listing is re-checked against The Vanguard Group's careers page daily and removed when it closes. ## The Vanguard Group 10 open analyst roles on Real Analyst Jobs. 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