remote
Solutions Architect - Scaled Operations AI Accelerator - Meta
Solutions Architect
Lead AI‑driven automation programs for global operations, designing scalable cloud solutions that boost efficiency and effectiveness across Meta’s Scaled Operations organization.
About the role
Key Responsibilities
- Architect and implement end‑to‑end AI and automation pipelines that transform high‑volume operational workflows.
- Collaborate with cross‑functional teams to identify priority use cases and translate business requirements into scalable technical solutions.
- Design cloud‑native architectures on AWS, leveraging services such as SageMaker, Lambda, and ECS to deliver reliable, high‑throughput systems.
- Define and enforce best practices for infrastructure as code using Terraform and CI/CD pipelines for rapid, repeatable deployments.
- Mentor and guide engineering teams on ML Ops, model monitoring, and continuous improvement of AI models in production.
Requirements
- 5+ years of experience designing and deploying large‑scale AI and automation solutions in a cloud environment.
- Proficiency with Python, Kubernetes, and container orchestration for ML workloads.
- Hands‑on experience with AWS services (SageMaker, Lambda, ECS, EKS) and infrastructure as code tools.
- Strong understanding of ML model lifecycle management, monitoring, and governance.
- Excellent communication skills and ability to influence stakeholders across technical and non‑technical domains.
Skills
pythonawsmachine learningkubernetesterraform