Information Security Specialist (US) - AI Security Architect

Work Location:

Mount Laurel, New Jersey, United States of America

Hours:

40

Pay Details:

$98,160 - $159,270 USD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. 

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Line of Business:

Technology Solutions

Job Description:

The AI Security Architect defines, develops and/or implements Technology Controls / Information Security related policies, programs, tools and provides specialized expertise and guidance on assessing risks, identifying potential gaps and providing security solutions to mitigate risks and protect the Bank. Participates on projects of moderate to high complexity and provides complex reporting, analysis, and assessments at the functional, business line or enterprise level for own area.

This role is responsible for designing, implementing, and governing security architectures for enterprise AI platforms and services. This role serves as the subject matter expert for securing Microsoft's AI and Copilot ecosystem and for developing Security Technical Implementation Guides (STIGs) and hardening standards to ensure compliant, secure deployment of AI solutions across regulated environments. The Architect partners with security engineering, cloud platform teams, compliance, and legal stakeholders to enable the safe and responsible adoption of AI technologies while maintaining strong risk management and regulatory alignment.

Depth & Scope:

• Participates on complex, comprehensive or large projects and initiatives
• Acts as a lead expert resource in technology controls / information security for project teams, the business / organization and/or outside vendors
• Has advanced knowledge of organization, technology controls / security/ risk issues

Education & Experience:

• Bachelor's degree preferred
• Information security certification / accreditation an asset
• 7+ years of relevant experience
• Expert knowledge of IT security and risk disciplines and practices

Preferred Qualifications:

• Cloud Security Certification (e.g., Azure Security Engineer, Microsoft Cybersecurity Architect, CISSP, CCSP, etc.).
• 3+ years focused on cloud security architecture.
• \Prior work with Responsible AI frameworks, AI safety governance models, or data ethics compliance programs.
• Demonstrated experience as a Cloud Security Architect or Security Engineer with direct ownership over platform hardening standards or STIG development.
• Extensive technical knowledge of Microsoft cloud and AI platforms.
• Familiarity with compliance frameworks impacting AI security (e.g., NIST, ISO, CIS Benchmarks, etc.).
• Lead the security architecture design for AI platforms and services across the Microsoft ecosystem.
• Develop, maintain, and publish STIGs and security baselines for AI services, including configuration standards, risk controls, validation steps, and continuous compliance guidance.
• Security controls defined should include:
  • Model access controls
  • Data ingestion and indexing security
  • Prompt and content filtering
  • Training dataset governance
  • Logging and monitoring
  • Model endpoint exposure
  • API security
  • Identity, authorization, and tenant isolation
  • Supply chain and tool-assisted development workflows
• Author and manage security architecture frameworks for enterprise AI use cases as well as risk assessments for GenAI systems.
• Ensure control mapping aligned with NIST, CIS Benchmarks, and TD standards.
• Serve as the security authority on:
  • Azure AI Search
  • Azure OpenAI
  • Azure Content Safety
  • Azure Machine Learning
  • Microsoft Foundry
  • Microsoft 365 Copilot
  • M365 Copilot Studio
  • GitHub Copilot
• Build secure design patterns for AI workloads.
• Provide hands-on security guidance and architecture reviews for AI and GenAI pilots and production deployments.
• Partner with engineering teams to embed security by design into CI/CD pipelines.