LLM Solutions Architect

Role Summary

We’re looking for a hands-on Senior ML Engineer (6–10 years) who can :

• Lead design and delivery of LLM & Document AI solutions end-to-end
• Own ML services in production (APIs, pipelines, monitoring)
• Mentor a team of ML engineers and work directly with clients (US & India)

This is a technical leadership role, not a pure manager role.

Key Responsibilities

and solution design to development, deployment and monitoring.

Chroma, OpenSearch) for search, Q&A, extraction and summarization over

documents.

value extraction, classification and layout / table understanding.

environments using Python, Docker and CI / CD.

and handle reviews / clarifications.

and best practices.

coaching.

domains (BFSI, healthcare, legal, HR).

Must-Have Requirements Experience

Technical Skills

experience on AWS or GCP.

Soft Skills

able to explain complexideas to nontechnical stakeholders.

Good-to-Have

mandatory.

Education

field (mandatory).