Business Systems Architect, AI

About Figma

Figma is building a team of passionate creatives and builders focused on making design accessible to all. Their platform helps teams bring ideas to life, from brainstorming and prototyping to translating designs into code and iterating with AI. Figma empowers teams to streamline workflows, move faster, and collaborate in real-time from anywhere. If you're excited to shape the future of design and collaboration, consider joining them.

The Opportunity: Business Systems Architect, AI

Figma is seeking an experienced Business Systems Architect, AI to lead the design, implementation, and governance of AI-powered internal systems across the organization. This pivotal role sits at the intersection of technology, architecture, and business enablement, defining how Figma responsibly and effectively adopts AI within its core applications and workflows.

You will be responsible for evaluating and activating AI capabilities in critical systems such as Salesforce, NetSuite, Notion, Workday, and Slack. This involves close partnership with stakeholders across IT, Security, Engineering, and Legal to ensure integrations are secure, valuable, and scalable. A key aspect of this role includes architecting Figma's internal "AI fabric," including a Model Control Plane (MCP) matrix that orchestrates multiple models and tools, and designing intuitive user interfaces for a centralized, consistent employee experience with AI capabilities.

This is a full-time role available from one of Figma's US hubs or remotely within the United States.

What You'll Do at Figma

• Develop a strategic roadmap for how AI features are evaluated, adopted, and managed across the internal tool stack.
• Lead the technical design and integration of AI-powered features within enterprise applications (e.g., Salesforce, NetSuite, Notion, Workday, etc.).
• Partner with application owners to define suitable use cases for AI enablement and assess ROI, risk, and compliance implications.
• Establish best practices for model selection, integration, and governance in collaboration with IT Security and Data teams.
• Define architectural standards for how AI models and APIs are connected, authenticated, and monitored across systems.
• Co-lead the design of the internal AI MCP (Model Control Plane) matrix, defining interactions between multiple AI models (LLMs, RAG systems, copilots) and internal systems.
• Support procurement and vendor selection by defining architectural and integration requirements for AI tools and platforms.
• Define lifecycle management processes for AI-enabled tools, from evaluation to deprecation, ensuring compliance with company standards for security, privacy, and data governance.

What We're Looking For

We'd love to hear from you if you have:

• 10+ years of experience in enterprise systems architecture, business systems engineering, or IT strategy.
• Deep understanding of SaaS application ecosystems (Salesforce, NetSuite, Workday, Notion, etc.) and their APIs/integration frameworks.
• Strong experience with AI/ML systems integration and architecture design (e.g., model orchestration, embeddings, vector databases, agent frameworks).
• Familiarity with MCP-like architectures or modular AI orchestration frameworks, and hands-on experience with AI platforms (like OpenAI, Anthropic, etc.).
• Proven ability to design scalable internal architectures that balance innovation, usability, and compliance.
• Excellent cross-functional collaboration skills, translating technical possibilities into business outcomes.
• Curiosity and pragmatism: a passion for AI balanced with the rigor for responsible enterprise implementation.

While not required, it’s an added plus if you also have:

• Experience implementing AI copilots or assistants inside enterprise software.
• Familiarity with enterprise security and compliance frameworks and SOX/ITGC’s (SOC2, GDPR, ISO 27001, SOX, ITGC).

Why Join Figma?

At Figma, one of our core values is Grow as you go. They believe in hiring smart, curious people eager to learn and develop. Even if your past experience doesn't perfectly align, they encourage you to apply if you're excited about the role.

Key skills/competency

• Enterprise Systems Architecture
• AI/ML Systems Integration
• SaaS Application Ecosystems
• Model Control Plane (MCP)
• AI Governance
• Cross-functional Collaboration
• IT Strategy
• Data Governance
• Security & Compliance
• API Integration