AI Engineer

Overview

Job Description Expertise in LLMs, RAG, vector DBs, cloud architecture, NLP, data engineering, Lang Graph, Vector

DB, GCP.

• Architect end to end GenAI-driven platforms.
• Establish reference architectures using LLMs, RAG, embeddings, knowledge graphs.
• Design scalable LLM Ops workflows.

• Model PBM benefit structures and ontologies.
• Governance, Compliance, Data Security & Risk Management
• Implement Responsible AI controls, PHI/PII masking and HIPAA-aligned synthetic data generation.

• Partner with PBM Business SMEs, QA teams, AI engineers, and IT teams.

• Solution Architecture & Technical Leadership
• Architect end to end GenAI-driven platforms.
• Establish reference architectures using LLMs, RAG, embeddings, knowledge graphs.
• Design scalable LLMOps workflows.

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage:
  Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support:
  Maternal & Parental Leaves.
• Insurance Options:
  Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth:
  Commuter Benefits & Certification & Training Reimbursement.
• Time Off:
  Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance:
  Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Salary Range - $95,000-$120,000 per year.