AI Security Architect

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About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

About Our Team

The Product Security organization is seeking a dedicated and experienced AI Security Architect to design and advise on security strategies to protect our AI systems, data, and products. You will define the strategy and technical implementation of an AI/ML secure development lifecycle, integrated with our existing software development lifecycle

This is a dedicated security role that demands a unique blend of deep AI system understanding and a strong adversarial security mindset. The AI Security Architect will champion the integration of security-by-design principles into all AI initiatives, proactively identifying and mitigating AI-specific vulnerabilities to safeguard Salesforce's intellectual property, customer data, and brand reputation.

This crucial role will drive a unified and cohesive AI security strategy throughout the entire Salesforce ecosystem, transcending traditional product and "cloud" boundaries. Recognizing that agentic AI necessitates a fundamental shift from siloed approaches, the AI Security Architect will foster a consistent and integrated security posture across all Salesforce products, ensuring a shared commitment to customer trust by influencing platform design with critical security context.  

Impact – Responsibilities

• Advise on Secure AI Platform Design & Guidance

• Define Unified AI Security Standards & Best Practices

• Work with BISOs to Drive Secure-by-Default and Trust Principles Across Clouds

• Provide Deep Technical Input into Technology Security Evaluation & Risk Assessment

• Ensure Cross-Alignment with Ethical AI, Legal, and Compliance

• Manage Cutting-Edge Technology Security
   

Advise on Secure AI Platform Design & Guidance

• Partner with engineering and development architects to advise on the secure architecture design for end-to-end AI systems, including data pipelines, model development and deployment (MLOps), and integration with existing enterprise systems. Provide security context, risk identification, and recommendations for scalable, reliable, and secure designs across all Salesforce clouds.

Define Unified AI Security Standards & Best Practices

• Establish and enforce security architectural standards, design patterns, and best practices for AI development. Focus on ensuring robust, secure, and explainable AI systems with a consistent, unified security approach across all Salesforce products and clouds.

Work With BISOs to Drive Secure-by-Default and Trust Principles Across Clouds

• Ensure that security is fundamentally ingrained in the design of all AI components from inception, reinforcing Salesforce's "Secure by Default" architecture and unwavering commitment to customer trust across the entire platform. This role will influence development practices to embed these principles.

Provide Deep Technical Input into Technology Security Evaluation & Risk Assessment

• Evaluate and recommend appropriate AI technologies, frameworks (e.g., TensorFlow, PyTorch), platforms (e.g., cloud AI services), and tools from a security perspective, ensuring they align with our security requirements and risk appetite for a multi-cloud enterprise.

Ensure Cross-Alignment with Ethical AI, Legal, and Compliance

• Work closely with legal, compliance, AI Research, and the Office of Ethical and Humane Use teams to embed responsible AI security practices consistently, and to align on consistent taxonomies, definitions, methodologies, and tooling for testing security, safety, and ethical alignment of AI mo