AI Architect, Principal Frontline AI Engineer - Healthcare

Ovii's Interpretation of the Role

We seek a senior AI Architect to lead enterprise‑wide AI transformation for a large U.S. healthcare payer. The role blends deep AI engineering, generative AI, and LLM expertise with healthcare domain knowledge to redesign core business processes and enable AI‑native operations.

Role Snapshot

• AI Architecture & Strategy
• Healthcare Domain Expertise
• Generative AI & LLM Solutions
• Enterprise‑Scale Design
• Stakeholder Collaboration
• Mentorship & Enablement

Must-Have Requirements

• Python
• APIs
• Microservices
• Cloud AI platforms (AWS, Azure, GCP)
• Generative AI
• Large Language Models (LLMs)
• AI agents / prompt engineering
• Retrieval‑Augmented Generation (RAG)
• AI governance, security, monitoring
• Healthcare compliance (HIPAA)
• Enterprise AI architecture
• software engineering
• AI engineering
• machine learning
• enterprise architecture

Nice-to-Have Signals

• LangGraph / LangChain / CrewAI / AutoGen / Semantic Kernel
• Claude (Anthropic) / OpenAI / Gemini
• Healthcare data standards (HL7, FHIR, ICD‑10, CPT)
• Vector databases, embeddings, enterprise search
• Integration with Salesforce, ServiceNow, Epic
• Reusable AI accelerators & reference architectures
• AI adoption enablement & training
• AI Architect
• Forward Deployed Engineer
• Solutions Architect

Work Setup

• Location: Jersey City, United States
• Work mode: REMOTE
• Remote scope: UNSPECIFIED
• Employment type: Full-Time

Eligibility Gates

• Visa sponsorship: unknown

Not Specified in JD

• Visa sponsorship
• Remote eligibility details
• Education requirement
• Certifications
• Relocation
• Travel
• Security clearance
• Coding test
• Portfolio
• GitHub
• Writing sample
• Cover letter

What You'll Likely Work On

• Partner with healthcare executives and clinical leaders to uncover high‑value AI opportunities
• Translate complex healthcare business challenges into scalable AI architectures and roadmaps
• Design enterprise AI solutions using generative AI, LLMs, AI agents, and RAG patterns
• Define multi‑agent, workflow orchestration, and knowledge‑retrieval architectures for claims, prior authorization, and care management
• Lead solution development from discovery through production deployment and ongoing optimization
• Collaborate with engineering, data science, product, security, and governance teams to ensure secure, compliant AI adoption
• Establish AI architecture standards, reusable frameworks, and accelerators for enterprise delivery
• Mentor engineering and business teams to adopt AI‑native workflows and tools

Good Fit If You Have

• Proven experience delivering production‑grade AI solutions in enterprise settings
• Strong communication skills for both technical and executive audiences
• Background in healthcare payer operations or regulated environments