Base: $170,800 - $234,800 py; bonus: eligible for ...
Hybrid
7+ years software engineering experience
Production-grade generative ai deployment
Rag architecture with multi-hop retrieval
CarePlus Health Plans Inc. is seeking a Lead Applied AI Engineer to develop advanced AI systems for healthcare applications, focusing on improving care quality through innovative technologies. The role requires extensive experience in software engineering and applied AI, with responsibilities including system architecture, deployment, and compliance with healthcare regulations
Job Summary
The role involves architecting advanced AI systems that integrate Generative AI capabilities and intelligent agents into secure, scalable healthcare platforms handling millions of member interactions.
Candidates must ensure all AI solutions rigorously meet healthcare compliance requirements including HIPAA, FDA guidance, and ethical standards to prevent algorithmic bias.
Humana offers competitive benefits including medical, dental, vision, 401(k) retirement savings, paid time off, and parental leave to support whole-person well-being.
Matching Summary
Match Score: 85
CarePlus Health Plans Inc. is seeking a Lead Applied AI Engineer to develop advanced AI systems for healthcare applications, focusing on improving care quality through innovative technologies. The role requires extensive experience in software engineering and applied AI, with responsibilities including system architecture, deployment, and compliance with healthcare regulations.
Salary
Base: $170,800 - $234,800 per year; Bonus: Eligible for incentive plan based on performance; Benefits: Medical, dental, vision, 401(k), PTO, and paid parental leave
Skills & Requirements
Must-have
7+ years software engineering experience
Production-grade Generative AI deployment
RAG architecture with multi-hop retrieval
Agent orchestration frameworks
Python and modern web frameworks
HIPAA and FDA regulatory compliance
Vector databases and embedding models
Nice-to-have
Healthcare industry domain knowledge
Mentoring and coaching abilities
Cross-functional collaboration skills
Influence on technical direction
Community contributions to AI engineering
Key Requirements
Bachelor's or Master's degree in Computer Science or related field
7+ years of experience in applied AI/ML and distributed systems
Deep expertise in Python, FastAPI, React, and vector databases
Proven leadership in deploying production-grade GenAI systems
Experience with responsible AI principles and governance