Scotiabank

Principal AI Engineer - Tangerine

Scotiabank • $120K — $150K *
Toronto, ON M3C 0E3In-Person
Enterprise Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 5-7 years of AI leadership and project delivery experience
  • Proven track record in embedding Responsible AI principles into production systems
  • Extensive proficiency in Python and data science libraries
  • Hands-on experience with LLM-powered applications
  • Familiarity with AI governance frameworks and operationalizing them
  • Strong background in system design and microservices architecture

Responsibilities

  • Define and implement a strategy for trustworthy AI interfaces
  • Translate business requirements into responsible architectural best practices
  • Embed AI-driven metrics into architecture and governance
  • Champion model risk management and regulatory alignment
  • Design secure AI platforms integrated with enterprise systems
  • Iterate on platform capabilities while ensuring maintainability
  • Mentor teams to cultivate a responsible engineering culture

Benefits

  • Opportunities for mentoring and professional growth
  • A culture emphasizing innovation and excellence
  • Collaborative work environment across disciplines
  • Engagement with cutting-edge AI technologies
  • Focus on responsible AI practices and ethical development
Full Job Description
Requisition ID: 267929

Is this role right for you?
  • Strategy & Responsible AI Governance - Work with the business to define and implement a strategy for trustworthy, personalized natural language and agentic interfaces - embedding fairness, transparency, and accountability from design through deployment
  • Act as lead engineering partner to translate business requirements into responsible architectural patterns and best practices for agentic AI development, balancing innovation with risk and ethical guardrails
  • Partner with Data, security, risk, legal, and engineering teams to embed AI-driven resiliency, observability, bias detection, and threat modeling into architecture and governance standards
  • Champion model risk management practices (e.g., SR 11-7), regulatory alignment, and readiness for emerging AI regulation across the agentic AI portfolio
  • Architecting a Responsible Agentic Development Platform and Practice
  • Work as part of a team defining and delivering the strategy, technical components, and guardrail patterns for a responsible agentic AI ecosystem
  • Design and implement secure, resilient, and compliant AI platforms that integrate with existing enterprise systems, ensuring alignment with risk, ethics, fairness, and regulatory frameworks
  • Build on knowledge of event-driven architecture, message queues, and distributed systems to build resilient, auditable, and scalable agentic workflows in a secure and compliant manner. - Drive search and retrieval architecture, including vector-based search systems, indexing strategies, and relevance optimization, with attention to provenance, grounding, and hallucination mitigation
  • Design and embed responsible AI controls - guardrails, content and prompt safety, policy enforcement, explainability, and audit trails - directly into the platform
  • Manage and iterate on new platform capabilities while balancing the needs of key projects, delivering maintainable, scalable, testable, and easy-to-refactor solutions
  • Work hands-on and de-risk the critical parts of our complex projects & Evaluation pipelines. The role will be deeply involved in coding, reviewing, red-teaming, and optimizing AI solutions
  • Mentor and Drive a Responsible Engineering Culture
  • Inspire and mentor teams across architecture and engineering disciplines, cultivating a culture of innovation, responsibility, and trust in AI adoption
  • Drive next-generation testing, evaluation, red-teaming, and observability practices for dynamic orchestration of user journeys
  • Establish responsible AI review and evaluation practices - fairness testing, bias audits, safety evaluations, and ongoing monitoring - as a standard part of the delivery lifecycle
  • Champion a culture of excellence, inclusion, and continuous learning within the team. When something breaks, you're not satisfied with a workaround. You dig until you understand why, and you bring learning and long-term solutions back to the team.


Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:
  • Proven experience in AI leadership and delivery roles, with a track record of successfully leading and delivering AI projects - scoping ambiguous problems, communicating trade-offs, and iterating based on real-world feedback
  • Demonstrated experience embedding Responsible AI principles (fairness, transparency, accountability, privacy, and safety) into production AI/ML systems
  • Extensive experience in Python and its core data science libraries (e.g., Scikit-learn, Pandas, NumPy, Matplotlib/Seaborn)
  • Hands-on experience building and taking LLM-powered applications to production (retrieval, agents, structured outputs, prompt safety) with appropriate guardrails and evaluations
  • Experience with Agentic AI frameworks and designing multi-step AI reasoning processes, including safety, guardrail, and human-in-the-loop design
  • Experience with MLOps principles and tools for model versioning (e.g., Git), containerization (e.g., Docker), and continuous integration/continuous deployment (CI/CD) of machine learning models
  • Familiarity with model risk management and AI governance frameworks (e.g., SR 11-7, NIST AI RMF, EU AI Act) and the ability to operationalize them in engineering practice
  • Proven experience in automated testing and the ability to develop test strategies and design automation frameworks, including evaluation and red-teaming for AI systems
  • Experience with running benchmarks at scale for model development and evaluation
  • Strong experience in full-stack fundamentals, system design, and integrations, with demonstrated leadership in designing and managing low-latency microservices at scale with authentication and authorization (OAuth 2.0, OpenID Connect, and SAML).


Preferred Qualifications
  • Strong theoretical and practical knowledge of classical machine learning algorithms (e.g., classification, regression, clustering, dimensionality reduction) and their applications in areas such as fraud detection, credit risk scoring, or customer segmentation
  • Experience with explainability and interpretability techniques (e.g., SHAP, LIME) and bias/fairness assessment tooling
  • Experience in fine-tuning LLMs, embedding models, and tackling advanced RAG or agentic use cases. Building pipelines and eval sets to benchmark performance of such solutions is essential.Demonstrated expertise in feature engineering, feature selection, and data transformation techniques for structured and unstructured data - Experience in designing AI observability, monitoring systems, feedback loops, drift detection, and trend analysis
  • Familiarity with Google's Vertex AI tech stack
  • Experience building applications with modern web component frameworks (such as React & Angular)
  • Experience with containerized tooling and cloud platforms (particularly Docker/Docker Compose, Kubernetes, and GCP)


Location(s): Canada : Ontario : Toronto

About Scotiabank

Scotiabankers are committed to helping individuals, companies, and communities to thrive in a changing world. From personal and business banking, brokerage, and insurance, to private wealth, and the most sophisticated commercial, corporate and institutional services, they serve the diverse needs of some 21 million customers in more than 55 countries. Founded in 1832 in Halifax, Nova Scotia, their growth has always been fuelled by the success of their customers and their longevity secured by an unshakable commitment to carefully and expertly managing risk and capital. That focus on doing what's right for customers—short- andlong-term—has made us a global financial services leader. Headquartered in Canada, they are over 86, 000 Scotiabankers strong. Each of us are committed to being the best at understanding their customers' needs and all of us working together to deliver practical advice and relevant solutions that help their customers become financially better off.

Scotiabank Careers

Join Scotiabank, a premier financial institution, and become part of a diverse and inclusive team that’s leading the way in global banking. At Scotiabank, we offer more than just job opportunities; we provide a platform for professional growth and innovation in the financial services industry.

Work You’ll Do

At Scotiabank, we’re not just filling positions; we’re cultivating leaders. Dive into a workplace where diversity training and leadership development shape the path to your future. Our commitment to professional growth is evident in our robust training programs and continuous learning opportunities that foster innovation and strategic thinking.

Explore a World of Opportunities

Whether you’re looking for a full-time position, an internship, or a leadership role, Scotiabank has a spectrum of opportunities to fit your career ambitions. Our team is composed of individuals who bring a wealth of skills and perspectives to our company, driving us forward with their creativity and strategic insights.

Innovative Work Environment

Scotiabank’s culture is one of collaboration and respect, where each team member’s contribution is valued. Engage in meaningful work that challenges you to leverage your skills and push the boundaries of what’s possible in the banking sector. Our innovative projects not only support the growth of the company but also ensure our position as a leader in the industry.

Benefits and Growth

Choosing a career at Scotiabank means opting for a life of growth and opportunity. Our employees enjoy competitive benefits, including comprehensive health coverage, retirement plans, and flexible working conditions, all designed to support your career and personal life. We believe in nurturing our team’s potential by providing them with the tools they need to succeed both professionally and personally.

Join Our Team

Ready to take the next step in your career? Explore the job opportunities at Scotiabank by searching our open positions that match your skills and interests. We are continuously hiring and looking for passionate, curious, and solution-driven team players.

Networking and Professional Development

Stay connected and advance your career through Scotiabank’s extensive networking opportunities. Participate in events that connect you with other professionals and leaders within the industry. Our career resources will help you prepare your resume, ace your interviews, and land the job that best suits your career goals.

Stay Ahead

Keep up to date with the latest in career tips, industry insights, and company news—all from the people who work here at Scotiabank. Personalize your experience by subscribing to job alert emails tailored to your preferences and be the first to know about new openings and exciting developments. Join Scotiabank and be part of a team that values integrity, respect, and accountability. Discover how your career can flourish in an environment committed to your professional development and personal growth.
Learn more about Scotiabank
Size
90,619 employees
Market Cap
$57.5 billion
Industry
Finance & Insurance
5 Year Trend
+7%
NASDAQ
BNS
* Ladders Estimates

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