Automation Solutions Architect, AI Accelerator Team
Listed on 2025-12-31
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IT/Tech
AI Engineer, Data Engineer
Automation Solutions Architect, AI Accelerator Team
Meta's Scaled Operations AI Accelerator Team seeks an Automation Solutions Architect to design, develop, and deploy AI-powered automation solutions that transform operational processes at scale.
Base pay range: $177,000 – $246,000 per year
LocationSeattle, WA
Employment typeFull-time
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.
- Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent 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.
- 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.
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