Related skills
workflow automation cloud infrastructure machine learning architecture enterprise integration📋 Description
- Lead technical delivery for enterprise clients.
- Architect repeatable delivery models and reference architectures.
- Hire, grow, and mentor engineering teams (5+ people).
- Own platform/infrastructure decisions, security, and tooling.
- Shape AI strategy: LLM orchestration, RAG, agents, eval, fine-tuning.
🎯 Requirements
- Built and shipped AI/ML systems in production.
- Led a technical team of 5+ engineers.
- Explain technical trade-offs to non-technical executives.
- Strong hands-on opinions on AI architecture.
- Comfortable in the weeds; dive in to fix issues.
- Proficient with cloud infrastructure and engineering practices.
🎁 Benefits
- Real, production AI work on high-impact client projects.
- Opportunity to own a tech organization and shape how it works.
- Small team, real revenue, and meaningful problems.
- Periodic travel (10–20%) for client work and events.
- Commitment to responsible AI, ethics, and human oversight.
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