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