Senior Engineering Manager

Requisition ID: 270798

Salary Range:-

Please note that the Salary Range shown is a guideline only. Salary offered may vary based on factors including but not limited to the successful candidates relevant knowledge skills and experience.

Join a purpose driven winning team committed to results in an inclusive and high-performing culture.

Global Banking and Markets

Global Banking and Markets (GBM) is a leading Canadian Capital Markets and Investment Banking business with a growing platform in the US and Latin America operating globally for over 100 years. Scotiabanks strong U.S. presence provides our clients an important bridge to this key global market for trade and investment flows across the Americas and the world.
Global Banking & Markets provides a full range of investment banking credit and risk management products and services relevant to the financing and strategic development needs of our clients. Our products include debt and equity financing mergers & acquisitions corporate banking institutional equity sales trading and research fixed income products derivatives energy foreign exchange and precious & metals. We also cross-sell the full range of wholesale products and services offered by the Scotiabank Group.
Be part of an innovative Global Capital Markets and Investment Banking business with a unique geographic footprint that puts capital to work for our clients across industries! We work together to drive ambition for every future!

Purpose

The Senior Manager AI Platform is an experienced engineering leader responsible for managing the delivery adoption and continuous improvement of enterprise AI platform capabilities that enable safe governed and reusable AI solutions across the organization. This role will lead platform execution for services that accelerate AI adoption improve developer productivity and ensure AI solutions are deployed with the reliability security observability and controls required in a highly regulated environment.

You will partner with technology data risk security architecture product and business stakeholders to translate the AI platform roadmap into delivery plans engineering priorities and reusable platform capabilities including model enablement agentic AI services orchestration evaluation monitoring guardrails prompt and context management integration patterns and responsible AI controls.

What Youll Do

AI Platform Strategy & Engineering Execution:
Contribute to and execute the enterprise AI platform roadmap delivery plan and engineering priorities aligned to business needs technology standards and responsible AI requirements.
Build reusable platform capabilities that enable teams to develop test deploy and operate AI solutions consistently and securely across the enterprise.
Establish scalable frameworks for:
o Model foundation model and large language model enablement
o Agentic AI orchestration workflow automation and tool integration
o Prompt context retrieval and knowledge grounding services
o Reusable APIs SDKs templates and reference patterns for AI engineering teams
Implement enterprise-grade AI platform controls including:
o Secure access identity entitlement and policy enforcement for AI services
o Responsible AI guardrails safety patterns evaluation gates and human-in-the-loop controls
o Auditability traceability model usage tracking and evidence generation
Manage and coach platform engineering teams setting clear delivery expectations technical standards sprint priorities and operating rhythms.
Partner with application data cloud cyber risk and architecture teams to implement AI platform capabilities within enterprise delivery workflows.
Ensure the AI platform supports regulated use cases by design with controls integrated into engineering pipelines rather than applied as after-the-fact reviews.

AI Operations Observability & Trust:
Implement and operate an AI operations framework that enables reliable measurable and governed AI services in production.
Deliver platform capabilities for:
o Model and agent monitoring performance tracking and drift detection
o Evaluation red-teaming support quality scoring and regression testing
o Cost token capacity and usage observability across AI workloads
o Incident management rollback patterns and continuous improvement of AI services
Embed testing monitoring and governance checks into AI delivery pipelines to ensure trust resiliency and operational readiness by design.

AI Enablement Reuse & Adoption:
Create a platform experience that makes AI capabilities easy to discover consume and reuse across engineering and business teams.
Enable governed reuse through:
o AI service catalogs reusable components and approved reference architectures
o Standard onboarding patterns developer documentation and self-service capabilities
o Reusable evaluation datasets prompt libraries and implementation blueprints
Drive adoption of AI platform capabilities by working with product engineering architecture and business stakeholders to turn high-value AI use cases into reusable implementation patterns.

What Youll Bring

Required Qualifications
Bachelors degree in computer science engineering information technology data science or a related technical discipline.
Experience in financial services or other highly regulated industries with a strong understanding of security risk compliance and operational control expectations.
8 years of technology and engineering experience including 3 years managing or leading platform AI data cloud or enterprise engineering teams.
Hands-on leadership experience with:
o AI machine learning generative AI or agentic AI platforms
o Cloud-native platform engineering APIs microservices CI/CD and infrastructure automation
o Model deployment orchestration monitoring evaluation and operational support patterns
o Strong understanding of responsible AI AI governance model risk security privacy and regulatory expectations for production AI systems.
o Experience designing platforms that support reusable AI services developer enablement observability and enterprise adoption at scale.
o Cloud platform expertise with Azure preferred.
Strong expertise in platform engineering practices AI delivery lifecycle software engineering excellence and operating production-grade services.
Strong understanding of:
o AI security privacy responsible AI model lifecycle management and regulatory compliance in a financial services environment
Proven ability to work directly with engineers architects product leaders data scientists risk partners and senior stakeholders to deliver platform outcomes.
Strong communication skills with the ability to translate AI platform strategy into clear engineering priorities delivery plans stakeholder updates and measurable outcomes.

Interested

If your experience is closely related but doesnt 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. Thats why we work to grow and diversify talent and engage employees in a performance-oriented culture.

Whats 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.

#Dallas

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.

Scotiabank is an equal opportunity employer. We evaluate qualified applicants without regard to race color religion sex sexual orientation gender identity national origin disability veteran status or any other characteristic protected by federal state or local law.