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 creative, 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. Robust 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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