Key Responsibilities
- Design end-to-end AI/ML platform architecture for large-scale data and analytics systems.
- Architect retrieval and reasoning systems across structured, semi-structured, and unstructured data.
- Build resilient retrieval pipelines and governed AI workflows for production environments.
- Integrate AI services with enterprise systems and external platforms through secure gateways and APIs.
- Drive architecture decisions balancing reliability, scalability, performance, cost, and security.
- Establish best practices for AI deployment, observability, auditability, and governance.
Requirements
- Master’s degree in Computer Science / IT / AI / ML or related field.
- 10+ years of experience in software, platform, or AI architecture.
- Strong hands-on experience in AI/ML systems, integration architecture, and production deployment.
- Experience with Generative AI, LLMs, governed retrieval, and enterprise AI architecture.
- Exposure to secure API integration, model operations, and regulated environments.