Weekday is hiring a Principal Architect for a senior, hands-on leadership role. You will architect, build, and scale end-to-end machine learning systems, blending ML architecture, backend engineering, and MLOps to design production-grade AI solutions that are reliable, scalable, and impactful.

What You'll Do

Architect and lead the development of large-scale machine learning systems and platforms.
Design and implement backend services that support ML model training, deployment, and inference.
Build and maintain MLOps pipelines for model versioning, monitoring, CI/CD, and retraining.
Ensure reliability, scalability, and performance of ML systems in production environments.
Collaborate with product, data, and engineering teams to align ML solutions with business needs.
Drive best practices in software engineering, ML architecture, and system design.
Mentor senior engineers and influence technical direction across teams.

What We're Looking For

10–14 years of experience across machine learning, backend engineering, and software development.
Strong expertise in designing production-ready ML architectures and platforms.
Hands-on experience with MLOps, model deployment, and lifecycle management.
Solid background in backend systems, APIs, and scalable software design.
Ability to lead technically, make architectural decisions, and solve complex problems.
Comfortable working in high-impact, senior-level roles with ownership and autonomy.