Solutions Architect, Scaled Operations AI Accelerator Team Meta

Skills / Requirements

• Agent Orchestration
• AI Tools Integration
• AI/ML
• API Integration
• Automation
• Bias Mitigation
• Change Management
• Internal Automation Frameworks
• Process Analysis
• Program Management
• Prompt Engineering
• Risk Assessment
• Solutions Architect
• Stakeholder Engagement
• Technical Documentation
• Vibe Coding

Why Apply

This role is ideal for those experienced with AI/ML and automation projects, particularly in integrating AI tools to optimize workflows. You'll engage with Meta's internal automation frameworks and Vibe Coding, making it a perfect fit for AI-driven development.

What You'll Be Doing

You will analyze and redesign operational workflows to identify automation opportunities, architect scalable solutions, and manage complex projects. Collaboration with cross-functional teams and staying updated with AI advancements are key aspects of the role.

Pay and Career Growth

The role offers a competitive salary range of $123,000 to $179,000, plus bonus and equity. Meta emphasizes career development, with opportunities to engage in cutting-edge AI projects and develop best practices for automation at scale.

Benefits and Perks

• benefits
• Bonus
• competitive salary
• Equity

Is This Role Right for You?

Original Job Description

Summary:

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.

Required Skills:

Solutions Architect, Scaled Operations AI Accelerator Team 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:

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:

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

Public Compensation:

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

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.