Requisition ID: 257097
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
The Senior AI Engineer is a senior technical individual contributor responsible for designing, building, and operationalizing enterprise grade AI solutions in a highly regulated banking environment. This role provides deep technical leadership across AI engineering, MLOps/LLMOps, and governance by design, ensuring AI solutions are secure, scalable, auditable, and production ready.
You will own complex AI systems end to end, influence platform standards, and act as a technical authority for AI delivery—bridging experimentation and enterprise production while meeting strict risk, privacy, and regulatory expectations.
Is this role right for you? In this role, you will:
- Act as a technical lead for AI engineering initiatives, owning design decisions for complex, high‑impact AI solutions.
- Define and contribute to reference architectures, reusable patterns, and “golden paths” for AI development and deployment across the bank.
- Review and approve AI solution designs to ensure alignment with platform standards, security controls, and governance requirements.
- Design and implement production‑grade AI services and pipelines (batch and real‑time) with strong focus on reliability, performance, and operational excellence in the cloud
- Lead the packaging and deployment of models 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.
- 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.
- Lead 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.
- Design and implement automated ML/LLM delivery pipelines covering training, evaluation, approval, deployment, and rollback.
- Establish standards for model versioning, reproducibility, environment isolation, and controlled releases.
- Reduce time‑to‑production while increasing safety, repeatability, and governance through automation.
- Mentor senior and mid‑level engineers, raising the overall technical bar across AI engineering
- Contribute to internal standards, documentation, and knowledge sharing.
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.
- 8+ years of experience in cloud engineering, with 5+ 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, u