Director, Non-Human Identity (NHI) and AI identity & AI Identity Engineering (Global Security)

Director of NHI & AI Identity Engineering

Leads the engineering and development of non-human identity (NHI) and AI identity capabilities across the Enterprise Identity and Access Management ecosystem. This role owns the engineering function and development environment for the capabilities that secure AI agents, service accounts, workloads, and other non-human consumers—managing how they authenticate, obtain secrets, and access resources across cloud, on‑prem, and hybrid environments.

Working in close partnership with the product owner, governance, architecture, and support teams, this leader builds the identity foundation that makes enterprise AI and automation safe to adopt at scale.

Non‑human and AI identity is one of the fastest‑growing and most strategically critical identity domains. The volume of machine identities now far exceeds human identities, and the rise of AI agents introduces new classes of autonomous consumers that must be managed with the same rigor as people.

What will you do?

Solution Delivery, development, engineering and integration

• Own the engineering function and roadmap for Non‑Human Identity (NHI) and AI identity capabilities, including the enterprise AI ID solution
• Define engineering standards, architecture patterns, and development practices; drive excellence through automation, code quality, and observability for NHI and AI identity solutions
• Engineer core NHI and AI identity capabilities: registration, lifecycle, secrets management, access flows, credential issuance, and workload identity
• Build integration patterns enabling AI agents and services to consume identity securely across cloud, on‑premises, and hybrid environments
• Drive integration with AI platforms, container platforms, CI/CD pipelines, and application teams
• Build automation for onboarding, lifecycle management, and policy enforcement across the non‑human identity estate
• Establish reference patterns and accelerators that make secure non‑human identity the default for enterprise teams

Collaboration, Relationships & Communications

• Support IAM framework implementation with monitoring, reporting, escalation, and security issue resolution
• Partner with PAM, Authentication, Identity Data & Workflow, and Platform Enablement teams to ensure integrated identity capabilities
• Support the governance team by engineering controls and capabilities to govern AI and machine identity, surfacing technical risks
• Provide L3 escalation to operations and support teams
• Partner with the product owner on strategy, roadmap prioritization, and vendor evaluations
• Engage with Risk, Compliance, and Audit to ensure regulatory alignment
• Recommend process improvements, cost‑saving opportunities, and operational efficiency gains
• Lead technical forums to foster team innovation
• Build strong relationships with IAM managers, analysts, architects, sponsors, and technical staff
• Represent NHI and AI identity engineering in leadership forums, architecture reviews, and executive updates
• Communicate effectively—both written and oral—to all levels of Technology and Operations management

Development & Coaching

• Lead a multi‑disciplinary engineering team; manage span of control, career growth, and technical depth
• Recruit, mentor, and develop high‑performing talent with clear growth opportunities
• Mentor senior engineers and emerging engineering leaders
• Foster a culture that attracts, retains, and motivates diverse talent, driving performance excellence through feedback and reviews
• Apply HR best practices to build capability and sustain high achievement
• Model continuous self‑development

Managerial Excellence

• Ensure that employees understand RBC vision; support and reinforce targeted behaviors that contribute to RBC goals
• Provide focus and clarity in establishing individual goals, driving performance management, supporting career development, and rewarding strong performance
• Leverage the value in unit, department, and enterprise‑wide teams to develop better solutions and achieve a cross‑enterprise mindset
• Accept and successfully execute change while supporting employees through the process and keeping them focused on business priorities
• Monitor configuration and software delivery automation trends and best practices ensuring the unit’s strategies and execution are aligned appropriately

What do you need to succeed?

Must‑have

• 10+ years in software/platform engineering, with 5+ years leading engineering teams; strong background in Identity and Access Management or adjacent security engineering domains
• Hands‑on engineering leadership experience with PAM, secrets management, or machine/workload identity platforms (CyberArk, HashiCorp Vault, SPIFFE/SPIRE, or equivalent)
• Strong understanding of non‑human identity concepts: service accounts, workload identity, ephemeral credentials, secret rotation, and attestation
• Demonstrated experience with cloud‑native identity patterns and workload identity at scale (Kubernetes, AWS, Azure, GCP)
• Demonstrated ability to manage, grow, and develop engineering teams composed primarily of senior individual contributors
• Experience owning development environments and modern development lifecycle practices in an enterprise setting
• Strong understanding of the banking/financial services regulatory landscape (FRB, Part 30, OSFI) and experience designing or operating identity platforms that meet regulatory and audit requirements
• Proficiency in modern engineering practices: CI/CD, GitOps, Infrastructure‑as‑Code, automated testing
• Proven ability to partner with product, governance, and operations functions in complex, matrixed environments

Nice‑to‑have

• Background in cybersecurity, identity governance, or GRC
• Experience securing AI / LLM workloads, agentic AI patterns, or MLOps pipelines
• Knowledge of AI governance, model identity, and emerging standards for autonomous agent identity
• Familiarity with Zero Trust Architecture and Just‑In‑Time Access models
• Experience integrating identity controls with API gateways and policy engines
• Track record of building and scaling an emerging identity engineering capability from early stage to enterprise adoption

What’s in it for you?

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
• Leaders who support your development through coaching and managing opportunities
• Ability to make a difference and lasting impact
• Work in a dynamic, collaborative, progressive, and high‑performing team
• Flexible work/life balance options
• Opportunities to do challenging work and take on progressively greater accountabilities

Job Skills

Decision Making, Group Problem Solving, Identity Access Management (IAM), Information Security, Information Technology Security, IT Systems Integration, Negotiation, Software Development, Software Development Life Cycle (SDLC)

Additional Job Details

16 YORK ST: TORONTO
Toronto
Canada
Work hours/week: 37.5
Employment Type: Full time
Platform: TECHNOLOGY AND OPERATIONS
Job Type: Regular
Pay Type: Salaried

Posted Date: 2026-05-28
Application Deadline: 2026-06-19