Role Description
Architect multi-agent systems: Design patterns for orchestration, memory management, and tool integration using frameworks like LangChain or CrewAI.
Develop and deploy GenAI agents for tasks such as:
Requirement validation and auto-correction
Test strategy and scenario generation
Automation script generation and self-healing
Data synthesis and performance planning
Integrate with enterprise platforms: Ensure compatibility with workflow tools, CI/CD pipelines, and observability dashboards.
Implement security and governance: Role-based access control, audit logging, and responsible AI guardrails.
Optimize performance and cost: Reduce token usage, latency,



and operational overhead through prompt engineering and caching strategies.
Mentor teams on GenAI architecture, prompt design, and best practices.
Hands-on experience with LangChain/CrewAI, Python/TypeScript, and API integrations.
Solid knowledge of cloud-native architecture (Docker, Kubernetes, AWS/GCP/Azure).
Familiarity with RBAC, security frameworks, and compliance standards.
Knowledge of vector databases (PGVector, Pinecone) and hybrid RAG strategies.
15+ years of experience

Skills ai agent,autogen,kubernetes,cloud computing,

📌 Specialist Ii Gen Ai Architect Thiruvananthapuram
🏢 UST
📍 Thiruvananthapuram