Senior AI Architect & Platform Lead

Elevate Patient Financial Solutions®; United States; On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Medical, Dental & Vision Insurance

401K match

PTO 15 days

7 holidays

Floating holidays

Elevate Day

Pet Insurance

Employee referral bonus

Teamwork culture

Career growth

Job summary

Elevate Patient Financial Solutions is seeking a Principal AI Architect to own the AI function, architecture, and production delivery. This hands-on leader will shape technical strategy, partner with Product, and guide the implementation of AI across the Databricks platform.

The role requires 10+ years in software/data/ML with deep Python/SQL expertise, production-grade AI experience, and a track record of ROI-focused delivery. Growth into Head of AI Engineering is anticipated.

Qualifications

• 10+ years of software, data, or ML engineering with expanding scope.
• Strong Python and SQL skills; able to build, test, and debug AI systems.
• Production experience with LLM agents and retrieval-augmented generation.
• Experience securing AI in regulated or sensitive-data environments.

Responsibilities

• Set the AI technical vision and roadmap with leadership.
• Partner with Product to identify AI opportunities and define feasible solutions.
• Design deterministic vs dynamic components and decide build vs buy.
• Develop and deploy retrieval-augmented generation and knowledge graphs.
• Lead the technical build from design through production and mentor engineers.

Skills

Python

SQL

LLM agents

Knowledge graphs

Retrieval-augmented generation

Cost management

Tools

Databricks

MLflow

Delta tables

Job description

Elevate Patient Financial Solutions is seeking a Principal AI Architect to own the AI function, architecture, and production delivery. This hands-on leader will shape technical strategy, partner with Product, and guide the implementation of AI across the Databricks platform.

The role requires 10+ years in software/data/ML with deep Python/SQL expertise, production-grade AI experience, and a track record of ROI-focused delivery. Growth into Head of AI Engineering is anticipated.