Job Description
We’re looking for a seasoned Software Architect with deep expertise in cloud-native enterprise systems and Generative AI. You will define and 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 solid stakeholder management.
Key responsibilities
Architecture & System Design
Design scalable, modular, and cloud-native architectures for GenAI applications(microservices, event-driven, serverless).
Define system boundaries, data flows, orchestration, and integration patterns forLLMs, vector DBs, embedding services, and tool integrations.
Produce architecture artifacts ( Layered Architecture Diagrams, C4 Models, DFDs,Class, Sequence, ER & Use Case diagrams, different types of blueprints, APIcontracts, design and trade-off decisions).
GenAI & Agentic Systems
Architect and deliver Retrieval-Augmented Generation (RAG) pipelines, NaturalLanguage to SQL Flows,



fine-tuning strategies, multi-modal capabilities, and tool-augmented agents.
Design agent orchestration and multi-agent frameworks enabling planning,reasoning, and secure tool invocations, implement and design Agent prototypes andCommunication Protocols.
Define prompt engineering standards, memory models(episodic/semantic/procedural), and context management.

LLMOps & AgentOps
Define and implement model lifecycle pipelines: training, fine-tuning, validation,deployment, rollback, and monitoring.
Build AgentOps processes for agent lifecycle, behavior tracking, governance andperformance optimization.
Automate CI/CD for models, agents and services (MLflow, TFX, BentoML, custompipelines).

Integration, Security & Compliance
Integrate GenAI services with enterprise systems (ERP, CRM, data lakes, APIs) usingsecure, scalable interfaces.
Ensure secure access controls, data privacy, encryp

📌 Ai Architect Bengaluru (India)
🏢 MathCo India
📍 India