Description

You define reference architectures for LLM/RAG and multi-agent workflows.

Responsibilities

• Develop solution architectures for structured and unstructured data using RAG and create Action Agents for task automation.
• Integrate heterogeneous data sources securely, ensuring compliance and auditability.
• Build production-ready solutions incorporating CI/CD, IaC, observability, rollbacks, and SLOs.
• Lead deployment across all environments (dev/test/staging/prod).
• Create solution design documents for use cases and develop proofs of concept (POCs) to validate feasibility.

Required Skills

• 8+ years in solution architecture and 3+ years in AI/LLM systems.
• Expertise in cloud platforms: Azure, AWS, GCP, and OCI.
• Proficiency in Python and AI frameworks like Langchain/Lang Graph and vector databases.
• Strong knowledge of data engineering, security, governance, CI/CD, and IaC (e.g., Terraform).
• Experience with runtime observability (metrics, logs, tracing).
• Ability to analyze use cases and apply architecture best practices.

Key Skills

Education

Any Gradute