Description

You will build and maintain AI-driven quality assurance workflows and knowledge graph capabilities for issue intake and business continuity management.

This role is on-site.

Responsibilities

• Build QA/QC workflows using existing orchestration, scheduling, and data processing patterns for unstructured request content.
• Implement quality evaluation prompts leveraging prompt templates, chaining, and versioning for intake quality checks.
• Develop an AI-driven knowledge graph to enable automatic reasoning over risks, issues, controls, and policies.
• Execute entity extraction and linking using GenAI to identify and relate entities from unstructured intake content.
• Ensure governance and observability by capturing AI decisions, entity relationships, and lineage for compliance assurance.

Required Skills

• 8+ years of experience in AI/ML engineering.
• Proficiency in building GenAI applications and prompt engineering.
• Experience with knowledge graph construction, entity extraction, and semantic enrichment.
• Strong understanding of AI orchestration, workflow scheduling, and execution controls.
• Ability to implement observability, logging, metrics, and audit trails for AI systems.
• Experience with data ingestion and processing pipelines for unstructured data.
• Ability to document logic, operating guidance, and control processes.

Key Skills

Education

Any Gradute