Automation Solutions Architect, AI Accelerator Team

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

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Role Overview

The Scaled Operations organization in Meta is responsible for delivering global scaled human operations to power Meta company priorities. As part of Meta’s strategic focus on integrating AI into our operational processes, this Automation Solutions Architect, AI Accelerator Team role will lead programs to transform how we operate within the Scaled Operations. This individual will be dedicated to the highest priority opportunities, identified by Scaled Operations leadership, to automate work and unlock new levels of efficiency and effectiveness. To be successful in this role, an individual will need to work effectively with cross-functional stakeholders, map and optimize processes, identify tooling requirements, and lead implementation and change management for their implementation.

Meta is seeking a highly skilled Automation Solutions Architect to join the Scaled Operations AI Accelerator Team. This small, entrepreneurial team is responsible for designing, developing, and deploying AI-powered automation solutions that transform operational processes at scale. As an Automation Solutions Architect, you will play a critical role in assessing and optimizing processes, leading technical design, and driving system implementation to deliver measurable impact across Scaled Operations.

Responsibilities of an Automation Solutions Architect, AI Accelerator Team

• Analyze, map, and redesign internal operational workflows to identify pain points and opportunities for AI-driven automation
• Collaborate with process owners and cross-functional teams to optimize processes and ensure successful automation outcomes
• Architect end-to-end automation solutions, ensuring technical scalability, robustness, and compliance with Meta standards
• Manage complex projects, including requirements gathering, timeline management, and deliverable oversight
• Champion effective change management, developing and executing strategies to support employees and teams through transitions resulting from automation
• Drive cross-functional engagement with product managers, engineers, business stakeholders, and external partners to deliver impactful solutions
• Communicate technical concepts and project status clearly to both technical and non-technical audiences
• Stay current with AI/ML advancements and experiment with new tools and approaches to foster innovation and continuous improvement
• Develop playbooks, reusable templates, and best practices to scale successful automations across Scaled Operations
• Manage contract worker or vendor relationships to support technical design development and implementation
• Track, analyze, and report on key metrics and business impact of automation initiatives

Minimum Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related technical experience
• 12+ years of experience in systems architecture and solution design
• 8+ years of experience in process analysis or business operations
• Experience with AI/ML or automation projects, including end-to-end solution delivery
• Expertise in API integration and automation frameworks
• Demonstrated skill in program management, including managing complex projects and cross-functional deliverables
• Experience communicating effectively on technical topics
• Experience supporting change management with cross-functional stakeholders

Preferred Qualifications

• Experience with Meta’s internal tools and platforms (e.g., Vibe Coding, internal automation frameworks)
• Familiarity with Scaled Operations processes and FTE workflows
• Advanced degree in Computer Science, Engineering, Operations, or related field experience
• Experience developing playbooks, reusable templates, and best practices for automation at scale

Key skills/competency

• AI-driven Automation
• Systems Architecture
• Solution Design
• Process Optimization
• Program Management
• Change Management
• API Integration
• AI/ML Project Delivery
• Stakeholder Collaboration
• Operational Efficiency