Director, AI Platform

Scotiabank; Dallas (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

Scotiabank is seeking a Director of the AI Platform in Dallas to lead the enterprise AI platform strategy, drive engineering execution, and accelerate AI adoption across the bank while meeting stringent regulatory controls. This leadership role requires deep expertise in AI, platform engineering, and cross-functional collaboration with risk and architecture teams.

The candidate will oversee governance, guardrails, observability, and reuse of AI services, ensuring trusted, scalable AI

Qualifications

• Bachelor’s degree in computer science, engineering, information technology, data science, or a related technical discipline.
• 10+ years of technology and engineering experience, including 5+ years leading platform, AI, data, cloud, or enterprise engineering teams.
• Hands-on leadership experience with AI platforms, cloud-native platform engineering, APIs, microservices, CI/CD, and infrastructure automation.
• Strong understanding of responsible AI, AI governance, model risk, security, privacy, and regulatory expectations for production AI systems.

Responsibilities

• Define and deliver the enterprise AI platform strategy, roadmap, and engineering execution model aligned to business priorities.
• Build reusable platform capabilities that enable teams to develop, test, deploy, and operate AI solutions securely.
• Establish scalable frameworks for model, foundation model, and large language model enablement.
• Implement enterprise-grade AI platform controls including secure access, guardrails, auditability.
• Lead high-performing platform engineering teams and partner with application, data, cloud, cyber, risk, and architecture teams.
• Ensure AI platform supports regulated use cases by design.

Education

Bachelor’s degree in computer science, engineering, information technology, data science, or a related technical discipline

Job description

Title: Director, AI Platform

Requisition ID: 271982

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 candidate’s 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. Scotiabank’s 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 Director, AI Platform, is a senior engineering leader responsible for defining, building, and scaling the enterprise AI platform that enables safe, governed, and reusable AI capabilities across the organization. This role will lead the delivery of platform 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 senior technology, data, risk, security, and business leaders to drive the AI platform roadmap, engineering execution, and enterprise adoption of core AI capabilities including model enablement, agentic AI services, orchestration, evaluation, monitoring, guardrails, prompt and context management, integration patterns, and responsible AI controls.

What You'll Do

AI Platform Strategy & Engineering Execution

• Define and deliver the enterprise AI platform strategy, roadmap, and engineering execution model aligned to business priorities, 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:
  • Model, foundation model, and large language model enablement
  • Agentic AI orchestration, workflow automation, and tool integration
  • Prompt, context, retrieval, and knowledge grounding services
  • Reusable APIs, SDKs, templates, and reference patterns for AI engineering teams
• Implement enterprise-grade AI platform controls including:
  • Secure access, identity, entitlement, and policy enforcement for AI services
  • Responsible AI guardrails, safety patterns, evaluation gates, and human-in-the-loop controls
  • Auditability, traceability, model usage tracking, and evidence generation
• Lead high-performing platform engineering teams, setting clear technical direction, delivery standards, and operating rhythms.
• Partner with application, data, cloud, cyber, risk, and architecture teams to embed AI platform capabilities into 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

• Establish and deliver an AI operations framework that enables reliable, measurable, and governed AI services in production.
• Deliver platform capabilities for:
  • Model and agent monitoring, performance tracking, and drift detection
  • Evaluation, red-teaming support, quality scoring, and regression testing
  • Cost, token, capacity, and usage observability across AI workloads
  • 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:
  • AI service catalogs, reusable components, and approved reference architectures
  • Standard onboarding patterns, developer documentation, and self-service capabilities
  • Reusable evaluation datasets, prompt libraries, and implementation blueprints
• Drive adoption of AI platform capabilities by partnering with product, engineering, architecture, and business stakeholders to convert high-value AI use cases into scalable enterprise patterns.

What You'll Bring

• Bachelor’s 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.
• 10+ years of technology and engineering experience, including 5+ years leading platform, AI, data, cloud, or enterprise engineering teams.
• Hands-on leadership experience with:
  • AI, machine learning, generative AI, or agentic AI platforms
  • Cloud-native platform engineering, APIs, microservices, CI/CD, and infrastructure automation
  • Model deployment, orchestration, monitoring, evaluation, and operational support patterns
  • Strong understanding of responsible AI, AI governance, model risk, security, privacy, and regulatory expectations for production AI systems.
  • Experience designing platforms that support reusable AI services, developer enablement, observability, and enterprise adoption at scale.
  • Cloud platform expertise, with Azure preferred.
• Deep expertise in platform engineering practices, AI delivery lifecycle, software engineering excellence, and operating production-grade services.
• Strong understanding of:
  • 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.
• Exceptional communication skills with the ability to translate AI platform strategy into clear engineering priorities, executive narratives, and measurable business outcomes.

Interested?

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. 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. #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.

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.

Nearest Major Market: Dallas Nearest Secondary Market: Fort Worth Job Segment: Test Engineer, Testing, Compliance, M&A, Engineer, Engineering, Technology, Legal, Management