AI Architect - Cloud Native Enterprise Systems & Generative AI
Summary
Senior architect role in Bangalore designing production-grade, cloud-native Generative AI systems (multi-agent, RAG, LLMOps/AgentOps) and leading cross-functional teams. Needs 10+ years engineering (3+ in architecture), strong design-pattern knowledge, and fluency in two of Python/TypeScript/Go/Java/C#.
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.