About the Role:

We're looking for a seasoned Software Architect with deep expertise in cloud-native enterprise systems and Generative AI.

Deliver scalable, secure, and production-grade GenAI architectures - including multi-agent, RAG, LLMOps and AgentOps systems - and lead cross-functional teams to build and operate them.

This role combines hands-on technical leadership, systems thinking, and strong stakeholder management.

Responsibilities:

- Design scalable, modular, and cloud-native architectures for GenAI applications.

- Define system boundaries, data flows, orchestration, and integration patterns for LLMs, vector DBs, embedding services, and tool integrations.

Requirements:

- 10+ years software engineering experience with 3+ years in architecture or senior technical leadership roles (or equivalent).

- Proven track record designing and delivering cloud-native, production systems at enterprise scale.

- Hands-on experience with GenAI/LLM systems, RAG, NL-SQL, agentic frameworks or similar productionized AI applications.

- Strong knowledge of system design patterns (microservices, event-driven, CQRS, hexagonal architecture), and Low Level Design Patterns.

- Experience integrating ML/LLM services with enterprise data platforms and APIs while meeting security/compliance requirements.

- Solid engineering background in at least two languages (Python, TypeScript, Go, Java, C#) and familiarity with modern frameworks.