Senior AI Engineer
Confirmed on the employer's own hiring board on Oct 2, 2026. First seen by Alion on Sep 30, 2026.
Requisition ID: 257198
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
We are committed to investing in our employees and helping you continue your career at Scotiabank.
Purpose
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.
What You’ll Do
- 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.
What You'll Bring
- 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.
Interested?
If your experience is closely related but doesn’t align perfectly with every qualification, we do encourage you to apply - you might be the right candidate for this or other roles at Scotiabank!
At Scotiabank, every employee is empowered to reach their fullest potential, respected for who they are and, embraced for their differences. That’s why we work to grow and diversify talent and engage employees in a performance-oriented culture.
What's in it for you?
Scotiabank wants you to be able to bring your best self to work - and life, every day. With a focus on holistic well-being, our many flexible benefit programs are designed to help support your unique family, financial, physical, mental, and social health needs.
Location(s): United States : Texas : Dallas
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.