Solutions Architect, Scaled Operations AI Accelerator Team

Remote from: USA
Annual salary: Undisclosed
Salary information is not provided for this position. Check our Salary Directory to estimate the average compensation for similar roles.
Department: Software Engineering
Employment type: Full Time,
Job posted: 22 May 2026
Apply before: 22 Jun 2026
Experience level: Senior
Views / Applies: 89 / 33

About company

About Meta

Giving people the power to build community and bring the world closer together

Online Media
2004

Actively Hiring

AI Summary

Meta's Scaled Operations AI Accelerator Team is seeking a highly skilled Automation Solutions Architect to design and deploy AI-powered automation solutions. The role involves analyzing operational workflows, architecting scalable automation systems, and leading cross-functional projects. Candidates need 8+ years in systems architecture and 6+ years in process analysis, with expertise in AI/ML and API integration. This position offers an opportunity to drive transformative automation at a global scale within a fast-paced tech environment.

Job Complexity

Easy Hard

AI Insight The role requires a rare combination of deep technical architecture skills, AI/ML expertise, and business process optimization, along with strong program management and change management abilities, making it highly challenging.

Salary Analysis

AI Insight The salary for this role is estimated at a median of $220,000, which is competitive for a senior Solutions Architect at a top tech company like Meta. The market range for similar positions spans from $180,000 to $280,000, reflecting the high demand for AI and automation expertise.

Key Skills

Solutions Architecture AI/ML Automation Process Optimization API Integration Program Management Change Management Cross-functional Collaboration Technical Documentation Scaled Operations

Cover Letter Sample

Dear Hiring Manager,

I am writing to express my strong interest in the Solutions Architect position on the Scaled Operations AI Accelerator Team at Meta. With over 8 years of experience in systems architecture and a proven track record of delivering AI-driven automation solutions at scale, I am excited about the opportunity to transform operational processes and drive measurable impact.

In my previous role, I successfully architected end-to-end automation solutions that improved efficiency by 30% and reduced manual effort across multiple business units. I have deep expertise in API integration, automation frameworks, and AI/ML technologies, and I am adept at collaborating with cross-functional teams to align technical solutions with business goals.

I am particularly drawn to Meta's mission of connecting the world and the innovative work being done by the Scaled Operations organization. I am confident that my skills in process analysis, program management, and change management will enable me to contribute immediately to your team's success.

Thank you for considering my application. I look forward to the possibility of discussing how I can help drive automation excellence at Meta.

Sincerely,
[Your Name]

Possible Interview Questions

Can you describe a complex automation project you led from start to finish? What was the problem, your solution, and the impact?

In my previous role, I led a project to automate a manual data reconciliation process across multiple systems. The problem was that the process took 20 hours per week and had high error rates. I architected an end-to-end solution using APIs to extract data, an ML model to identify discrepancies, and a workflow automation tool to trigger corrective actions. The result was a 95% reduction in manual effort and a 50% decrease in errors.

How do you approach stakeholder management when implementing automation that may impact employees' roles?

I prioritize early and transparent communication. I engage stakeholders to understand their concerns and involve them in the design process. I also develop change management strategies, including training sessions and support resources, to help employees transition to new roles. By demonstrating the benefits of automation and providing a clear path forward, I build trust and buy-in.

What experience do you have with AI/ML tools and frameworks? Can you give an example of how you integrated AI into an operational workflow?

I have extensive experience with Python, TensorFlow, and cloud-based ML services. For example, I integrated a natural language processing model to automatically categorize and route customer support tickets. This reduced response time by 40% and improved accuracy. I also used reinforcement learning to optimize resource allocation in a logistics operation.

How do you ensure the scalability and robustness of automation solutions?

I design solutions with modular architecture, using microservices and containerization where appropriate. I conduct load testing and implement monitoring and alerting. I also follow best practices for error handling and ensure that the system can handle increased volume without degradation. Additionally, I document the architecture and create playbooks for maintenance.

Describe a time when you had to advocate for a technical approach that was initially met with resistance. How did you handle it?

In a previous project, I proposed using a cloud-native solution instead of an on-premise system. Stakeholders were concerned about security and cost. I prepared a detailed comparison, including a cost-benefit analysis and a risk assessment. I also arranged a demo to showcase the scalability and security features. After addressing their concerns, they agreed to proceed, and the project was a success.

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.ResponsibilitiesAnalyze, 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 initiativesQualificationsBachelor’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

Apply now >