We are looking for experienced
LLMOps / AI Platform Architects
to drive the design, development, and evolution of enterprise-scale LLM-powered systems and AI platforms.
This is a
hands-on architecture and platform engineering role
, focused on building innovative, scalable, secure, and production-ready AI systems.
The role involves architecting next-generation AI capabilities including
RAG systems, Agentic AI workflows, enterprise copilots, and decision intelligence platforms
.
*Note: This is not a pure LLM operations or support role. Strong hands-on engineering and architecture experience is required.
Key Responsibilities
AI Architecture & Platform Design
- Architect end-to-end LLM-based systems including RAG pipelines, multi-agent workflows, LLM adaptation, and enterprise AI solutions.
- Define architecture patterns for scalability, low-latency inference,
and high-throughput workloads.
- Lead technical decisions around model selection, retrieval strategies, vector databases, hybrid search, and AI orchestration frameworks.
- Design scalable and reusable AI platform components.
LLM Platform Engineering
- Design and build enterprise-grade LLM platforms supporting rapid experimentation and standardized deployment.
- Establish best practices for CI/CD across ML and LLM systems.
- Define model and version lifecycle management practices.
- Build evaluation and benchmarking frameworks for LLM applications.
- Enable scalable deployment using cloud-native and Kubernetes-based architectures.
GenAI & AI Innovation
- Lead development of enterprise copilots, automation agents, and decision intelligence solutions.
- Develop advanced prompt engineering and agent orchestration strategies.
- Design LLM evaluation and feedback mechanisms.
- Research and integrate emerging Generative AI tools, frame
📌 LLMOps Lead (Bengaluru)
🏢 Technozis
📍 Bengaluru
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