Description

Define reference architectures for LLM/RAG and multi-agent workflows, leading solution design, deployment, and observability.

This role is hybrid.

Responsibilities

• Develop solution architectures for structured and unstructured data using RAG and Action Agents.
• 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 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, and governance.
• Experience with CI/CD and IaC (e.g., Terraform).
• Experience with runtime observability (metrics, logs, tracing).
• Ability to analyze use cases and apply architecture best practices.

Preferred Skills

• Experience with multi-agent workflows.

Key Skills

Education

Any Gradute