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Solutions Architect, Scaled Operations AI Accelerator Team

Meta

Location
Remote (Austin, Texas · Austin, Texas · Austin, Texas · Austin, Texas · Austin, Texas · Austin, Texas)
Compensation
$123k - $179k/yr
Employment
Full-time
Level
Senior Level
Posted 2 weeks ago

About the Role

Meta's Scaled Operations organization is seeking an Automation Solutions Architect to design and deploy AI-powered automation solutions. This role will transform operational processes at scale by analyzing workflows, architecting technical solutions, and driving cross-functional engagement to deliver measurable business impact.

Skills

Systems Architecture Solution Design Process Analysis AI/ML Automation Frameworks API Integration Program Management Change Management Technical Documentation Stakeholder Engagement Prompt Engineering Agent Orchestration Workflow Optimization Risk Assessment Bias Mitigation Business Operations

Benefits

  • Bonus
  • Equity
  • Benefits

Perks

  • Remote OK

Full job details

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


Minimum 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


Preferred Qualifications

  • 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


$123,000/year to $179,000/year + bonus + equity + benefits

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