AI Researcher - Regulatory LLM & RAG Systems

Zohorecruit; Silver Spring (MD); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

PPO/HMO Health Plan

Job summary

Cognizance Technologies, LLC in Silver Spring, MD, is seeking a seasoned AI/ML scientist to advance AI-enabled review workflows for regulatory submissions.

You will design and validate LLM-based systems, implement RAG and multi-agent orchestration, and ensure auditability and traceability across evidence artifacts and run metadata. This role requires comfort with high-stakes biomedical data and compliance.

Qualifications

• Experience with LLMs, RAG, tool calls, multi-agent orchestration.
• Documentation of data sources, run metadata, and risk artifacts.
• Ability to specify system assumptions, limitations, and mitigations.
• Experience with high-stakes regulatory environments.

Responsibilities

• Design, develop, test, and document AI solutions for drug submission reviews.
• Integrate human-in-the-loop reviews with audit trails and approvals.
• Build pipelines to ingest and parse regulatory and clinical documents with traceability.
• Establish evaluation protocols for AI output accuracy and robustness.
• Implement logging, monitoring, and QA controls for AI workflows.
• Prepare technical docs, risk summaries, and user guidance.
• PPO/HMO Health Plan (includes medical, dental, and vision).

Skills

Designing and implementing LLM/agentic

Audit-focused AI workflows

Model evaluation and validation

Translating needs into AI workflows

Job description

Cognizance Technologies, LLC in Silver Spring, MD, is seeking a seasoned AI/ML scientist to advance AI-enabled review workflows for regulatory submissions.

You will design and validate LLM-based systems, implement RAG and multi-agent orchestration, and ensure auditability and traceability across evidence artifacts and run metadata. This role requires comfort with high-stakes biomedical data and compliance.