Requisition ID: 257438
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
The AI Engineer is an individual contributor responsible for designing, building, and operationalizing enterprise grade AI solutions in a highly regulated banking environment. This role will execute AI engineering and MLOps/LLMOps, ensuring AI solutions are secure, scalable, auditable, and production ready. You will work with Senior Engineers to build and deploy production grade AI systems end to end.
Is this role right for you? In this role, you will:
Production AI Engineering (Build, Deploy, Run)
- Implement production‑grade AI services and pipelines (batch and real‑time) with strong focus on reliability, performance, and operational excellence in the cloud
- Execute, manage and support the packaging and deployment of models and solutions as scalable services (APIs, jobs, agents) with clear SLAs, monitoring, alerting, and runbooks.
- Own complex problem resolution across environments, including production incidents related to AI systems.
Governance‑by‑Design (Banking & Regulatory Alignment)
- Embed AI governance directly into engineering workflows, including:
- Security and access controls
- Data classification and handling
- Model risk management requirements
- Privacy and consent controls
- Responsible AI principles
- Auditability and regulatory traceability
- Partner closely with Risk, Compliance, Legal, and Architecture teams to ensure AI solutions meet internal and external regulatory expectations.
Generative AI & Advanced AI Capabilities
- Implementation of Generative AI patterns such as Retrieval‑Augmented Generation (RAG), embeddings, semantic search, and agent workflows.
- Ensure GenAI solutions are grounded in approved data sources, governed access, logging, and retention policies.
- Define evaluation and monitoring approaches for GenAI outputs in regulated use cases.
Enterprise MLOps / LLMOps
- Implement automated ML/LLM delivery pipelines covering training, evaluation, approval, deployment, and rollback.
- Implement standards for model versioning, reproducibility, environment isolation, and controlled releases.
- Reduce time‑to‑production while increasing safety, repeatability, and governance through automation.
Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
- 3+ years of experience in cloud engineering, with 3+ years focused on AI/ML systems
- Expert‑level proficiency in Python, SQL and cloud infrastructure
- Hands‑on experience deploying AI solutions in cloud environments (Azure and GCP).
- Deep understanding of production concerns: reliability, scalability, observability, cost, and security.
- Experience delivering AI solutions in regulated industries (banking, financial services, insurance, healthcare).
- Strong familiarity with model risk management, audit requirements, and regulatory review processes.
- Hands‑on experience with enterprise MLOps / LLMOps tooling and platform design.
- Experience designing platform‑level AI capabilities, not just individual models.
What's in it for you?
- Diversity, Equity, Inclusion & Allyship - We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through bias-free practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employee to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans.
- Accessibility and Workplace Accommodations - We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. Scotiabank continues to locate, remove and prevent barriers so that we can build a diverse and inclusive environment while meeting accessibility requirements.
- Upskilling through online courses, cross-functional development opportunities, and tuition assistance.
- Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one.
- Dynamic Ecosystem - Free tea & coffee, universal washrooms, and lots of space for team collaboration.
- Community Engagement - No matter where you choose to work from; we offer opportunities for community engagement & belonging with our various programs.
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Location(s): Canada : Ontario : Toronto
Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.
At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here. Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.