Qualifications
- Proven track record owning production systems end to end, including on-call and incident response.
- Experience designing and operating distributed, event-driven architectures in production.
- Deep practical experience with at least one major cloud provider and enterprise integrations (ERPs, CRMs, data platforms).
- Demonstrated experience building and evaluating non-deterministic AI/agent systems in production, including RAG and multi-agent orchestration.
- Client-facing experience advising technical leadership and running discovery and solution workshops.
- Strong engineering judgment: able to translate business goals into secure, maintainable architectures and to defend technical choices with evidence.
- Experience defining governance, audit and human-in-the-loop controls for AI systems.
- Excellent mentoring, communication and leadership skills; comfortable presenting to executive audiences.
Desired Skills:
- Data modeling
- SQL
- NoSQL
- Event-driven architecture
- Kafka
- RabbitMQ
- Distributed systems
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