Should be a hands-on person, responsible for creating solution architecture for production‑grade AI/GenAI solutions, including LLM‑powered applications, RAG pipelines, and agentic workflows, integrating with enterprise AI applications while maintaining scalability, security. The role involves frontend and backend development, API creation, and collaboration within AI platform, engineering, data, and governance teams to deliver high‑quality AI solutions using AI services and agentic frameworks.
Key Responsibilities
- Create reusable architecture including frontend, backend and APIs for AI and GenAI applications/ agents by exploring multiple options balancing multiple aspects like functionality, performance, security, cost etc
- Create agentic architecture, strategies and offer guidance
- Architecture and design for AI guardrails
- Creation and updating of AI best practices and standards
- Responding to technical issues and providing guidance for implementing AI solutions
- Collaborate with AI platform, engineering, data, and governance teams
Troubleshoot production issues
