The Scaled Operations organization in Meta is responsible for delivering global scaled human operations to power Meta company priorities. 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
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
Qualifications
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 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