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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.
Job Responsibility
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
Requirements
Bachelor's degree in a directly related field, or equivalent practical experience
8+ years of experience in systems architecture and solution design
6+ years of experience in process analysis or business operations
Proven experience with AI/ML or automation projects, including end-to-end solution delivery
Expertise in API integration and automation frameworks
Demonstrated ability to deliver technical documentation and communicate technical requirements
Demonstrated skills in program management, including managing complex projects and cross-functional deliverables
Experience supporting change management and stakeholder engagement
Nice to have
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Bachelor’s or advanced degree in Computer Science, Engineering, or a related technical experience
Experience with Meta’s internal tools and platforms (e.g., Vibe Coding, internal automation frameworks)
Familiarity with Scaled Operations processes and FTE workflows
Experience developing playbooks, reusable templates, and best practices for automation at scale