Senior Solutions Architect

Senior Solutions Architect - Weights & Biases

Join to apply for the Senior Solutions Architect – Weights & Biases role at Weights & Biases.

Core Weave, the AI Hyperscaler™, acquired Weights & Biases to create the most powerful end‑to‑end platform to develop, deploy, and iterate AI faster. Since 2017, Core Weave has operated a growing footprint of data centers covering every region of the US and across Europe, and was ranked as one of the TIME
100 most influential companies of 2024. By bringing together Core Weave’s industry‑leading cloud infrastructure with the best‑in‑class tools AI practitioners know and love from Weights & Biases, we’re setting a new standard for how AI is built, trained, and scaled.

The integration of our teams and technologies is accelerating our shared mission: to empower developers with the tools and infrastructure they need to push the boundaries of what AI can do. From experiment tracking and model optimization to high‑performance training clusters, agent building, and inference at scale, we’re combining forces to serve the full AI lifecycle — all in one seamless platform.

Weights & Biases has long been trusted by over 1,500 organizations — including AstraZeneca, Canva, Cohere, OpenAI, Meta, Snowflake, Square, Toyota, and Wayve — to build better models, AI agents and applications. Now, as part of Core Weave, that impact is amplified across a broader ecosystem of AI innovators, researchers, and enterprises.

As we unite under one vision, we’re looking for bold thinkers and agile builders who are excited to shape the future of AI alongside us. If you're passionate about solving complex problems at the intersection of software, hardware, and AI, there's never been a more exciting time to join our team.

Our Solutions Architecture team at Weights & Biases is a unique hybrid organization, combining the deep technical skills of Site Reliability Engineering with the consultative expertise of Solutions Architecture. We focus on ensuring customers can successfully deploy and operate W&B across cloud and on‑prem environments while delivering a best‑in‑class experience that accelerates ML adoption at scale.

As a Senior Solutions Architect, you will be responsible for managing complex customer deployments across AWS, GCP, Azure, and on‑prem environments. You’ll partner directly with customer engineering teams to provision and monitor services, debug and resolve infrastructure issues, and ensure performance and scalability using SRE best practices. This role blends hands‑on technical problem‑solving with customer‑facing engagement, including technical discussions, demos, workshops, and enablement content creation.

You’ll work closely with Sales Engineering, Field Engineering, Support, and Product to drive adoption and influence our product roadmap based on customer feedback.

• Proven track record of systematically diagnosing and resolving infrastructure issues
• Experience in a customer‑facing technical role
• Expertise in Docker, Kubernetes, Helm charts, networking, and cloud‑managed services (e.g., MySQL, Object Stores)
• Strong fundamentals in Infrastructure as Code (IaC), preferably Terraform
• Proficiency with at least one cloud platform (AWS, GCP, Azure); experience across multiple platforms is a plus
• Strong Linux/Unix command line experience
• Basic proficiency in Python and familiarity with ML workflows or tools

• Deep proficiency in Kubernetes design patterns, including Operators
• Familiarity with data engineering and MLOps tooling
• Experience as an educator or facilitator for technical training sessions, workshops, or demos
• SaaS, web service, or distributed systems operations experience

• You love diving into infrastructure problems and solving them systematically
• You’re curious about how to scale complex ML systems in production environments
• You’re an expert in building and running containerized, distributed systems

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best‑in‑Class Client Experiences
• Achieve More Together

The base salary range for this role is $207,000 to $275,000. The…