Related skills
cloud infrastructure ai ml architecture rag📋 Description
- Lead technical delivery for enterprise clients; own architecture decisions.
- Build repeatable delivery models, discovery frameworks, and templates.
- Hire and develop the engineering team; foster autonomy and reviews.
- Own platform and infrastructure decisions (cloud, tooling, security).
- Shape our AI strategy by focusing on what ships and creates value.
🎯 Requirements
- Shipped AI/ML systems in production, not just prototypes.
- Led a technical team of 5+ engineers; built scalable orgs.
- Able to explain technical trade-offs to non-technical executives.
- Strong opinions on AI architecture with hands-on experience.
- Comfortable in the weeds; will dive in to fix problems.
- Cloud infra experience; capable of platform decisions.
🎁 Benefits
- Remote-friendly; US or Canada, EST-friendly.
- Periodic travel (10–20%) for client work and events.
- Own the technical org and shape delivery at scale.
- Profitable, growing company with real clients and impact.
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