Lead AI Architect

FinThrive; United States; On-site; USD 250,000 - 350,000; Full time

Job summary

FinThrive seeks a Lead AI Architect to define and evolve the enterprise AI architecture, enabling LLMs, Agentic AI, and advanced automation across FinThrive platforms.

You will partner with business, product, and engineering leaders to shape a scalable AI vision, govern responsible AI, and guide secure AI adoption in a regulated healthcare environment.

Qualifications

• 15+ years in software engineering or AI leadership
• Proven hands-on expertise in model fine-tuning (SFT, LoRA, PEFT)
• Strong command of AI/ML frameworks and orchestration tools (LangChain, Semantic Kernel)

Responsibilities

• Define and maintain AI architecture standards, reference models, and roadmaps.
• Architect and integrate Agentic AI, Generative AI, Document Intelligence, and RAG into FinThrive products.
• Lead fine-tuning using SFT, LoRA, and domain adaptation techniques.
• Establish best practices for prompt engineering, model evaluation, observability, and governance.
• Provide architectural leadership for MLOps, Responsible AI, and compliance in healthcare.
• Mentor technical leaders in AI design patterns and orchestration frameworks.
• Collaborate on build vs. buy decisions and scalable cloud deployments (Azure AI, AWS Bedrock).

Skills

Enterprise Architecture

AI Architecture

Generative AI

Agentic AI

Retrieval-Augmented Generation

Document Intelligence

Model Fine-Tuning

Azure AI

AWS Bedrock

Vector Databases

Prompt Engineering

MLOps

Responsible AI

AI Governance

Education

Master’s degree in Computer Science/AI/Data Science

Tools

LangChain

Semantic Kernel

Vector Databases

MLOps Platforms

Job description

FinThrive is building the future of healthcare revenue cycle management through advanced AI capabilities. As Lead AI Architect, you will define and evolve the enterprise architecture for FinThrive's AI ecosystem—enabling Large Language Models (LLMs), Agentic AI, and advanced automation to transform how we deliver value.

This is a strategic, high-impact role. You’ll partner with business, product, architecture, and engineering leaders to set a scalable AI vision, shape technology decisions, and guide the organization in responsible, secure, and innovative AI adoption.

What You Will Do

• Define and maintain AI architecture standards, reference models, and technology roadmaps.
• Architect and integrate Agentic AI systems, Generative AI, Document Intelligence, and retrieval-augmented generation (RAG) into FinThrive products and platforms.
• Lead fine-tuning and customization of AI models using advanced techniques:
• Supervised Fine-Tuning (SFT)
• Low-Rank Adaptation (LoRA)
• Continued Pretraining for domain-specific adaptation
• Establish best practices for prompt engineering, model evaluation, observability, and AI governance.
• Provide architectural leadership for MLOps, Responsible AI, and compliance within a regulated healthcare environment.
• Mentor technical leaders in AI design patterns, orchestration frameworks (e.g., LangChain, Semantic Kernel), and vector database solutions.
• Collaborate on build vs. buy decisions, cloud platform optimization, and scalable deployments using Azure AI, Azure OpenAI, AWS Bedrock, or equivalent platforms.

What You Bring

• 15+ years in software engineering, enterprise architecture, or AI platform leadership roles.
• Proven hands‑on expertise in model fine‑tuning (SFT, LoRA, PEFT) and domain‑specific LLM adaptation.
• Strong command of:
• AI/ML frameworks and orchestration tools (LangChain, Semantic Kernel)
• Knowledge of MLOps, AI observability, and governance practices.
• Excellent stakeholder engagement and communication skills for influencing enterprise technology strategy.

Preferred Qualifications

• Master’s degree in Computer Science, AI, Data Science, or related field.
• Experience in regulated industries (Healthcare, Financial Services, Insurance).
• Contributions to open‑source AI projects, patents, publications, or thought leadership in the AI space.

Skills

Enterprise Architecture | AI Architecture | Generative AI | Agentic AI | Retrieval‑Augmented Generation (RAG) | Document Intelligence | Model Fine‑Tuning (SFT, LoRA, PEFT) | Azure AI | AWS Bedrock | Vector Databases | Prompt Engineering | MLOps | Responsible AI | AI Governance