AI Architect
About The Position
The AI Architect will lead the design and implementation of Agentic AI platforms that automate complex workflows in healthcare revenue cycle management (RCM). This role focuses on building scalable AI architectures that combine large language models (LLMs), knowledge graphs, retrieval systems, and multi-agent orchestration to support high-volume operational workflows. The AI Architect will design and implement systems capable of supporting hundreds of thousands of AI-driven decisions per month, including automated appeals processing, prior authorization support, and medical policy interpretation. The role requires deep expertise in LLM-based systems, distributed AI architectures, and enterprise cloud platforms. The ideal candidate has experience building production-scale AI systems, with strong knowledge of LLM orchestration, knowledge graphs, and cloud-based AI infrastructure. This position will be located at our offices in San Diego, CA.
Requirements
- Strategic architecture mindset with the ability to design scalable, enterprise-grade AI platforms that support complex operational workflows.
- Adaptability in rapidly evolving AI environments, staying current with emerging technologies and applying them to practical business solutions.
- Strong cross-functional collaboration, partnering effectively with product, engineering, and operations teams to translate business needs into scalable technical solutions.
- Clear technical leadership and communication, aligning teams around architecture decisions and enabling successful delivery of AI-driven capabilities.
- Bachelor’s or master’s degree in computer science, Artificial Intelligence, Data Engineering, Statistics or a related field (master’s degree preferred).
- 5+ years of experience in software architecture, AI engineering, or machine learning systems.
- Experience designing production-grade AI/ML platforms in enterprise environments.
- Hands-on experience building systems using large language models (LLMs).
- Strong experience with Python and distributed systems architectures.
Nice To Haves
- Experience building Agentic AI or multi-agent orchestration systems.
- Experience integrating LLMs with knowledge graphs (Neo4j or similar technologies).
- Familiarity with AWS Bedrock and foundation models such as Claude.
- Experience implementing RAG pipelines, vector search, and semantic retrieval systems.
- Knowledge of healthcare data systems, clinical documentation, or revenue cycle management (RCM) processes.
Responsibilities
- Design and implement Agentic AI architectures where multiple AI agents collaborate to perform complex tasks such as document analysis, policy interpretation, and decision support.
- Define frameworks for AI agent planning, reasoning, validation, and workflow orchestration.
- Architect scalable solutions capable of processing hundreds of thousands of AI-driven workflow cases per month.
- Develop AI solutions to support healthcare revenue cycle processes such as:
- Integrate AI systems with enterprise healthcare platforms while ensuring compliance with security, privacy, and regulatory requirements.
- Design architectures with GraphRAG-based reasoning workflows.
- Implement retrieval-augmented generation (RAG) pipelines combining structured knowledge, payer policies, and clinical documentation.
- Develop semantic search and knowledge linking strategies to improve AI accuracy, traceability, and explainability.
- Architect enterprise AI systems built on AWS cloud infrastructure, including services such as:
- Design distributed systems supporting high throughput, reliability, and observability.
- Define standards for AI service deployment, monitoring, and operational management.
- Implement guardrails for AI safety, validation, and hallucination mitigation.
- Ensure AI systems meet enterprise requirements for security, auditability, and responsible AI usage.
- Partner with product leaders, engineering teams, and data scientists to translate business needs into scalable AI systems.
- Provide technical leadership and architectural guidance to engineering teams implementing AI capabilities.
- Contribute to the overall enterprise AI platform strategy and roadmap
Benefits
- Comprehensive health benefits including medical, dental, vision, and telehealth
- 401(k) with company match and personalized financial coaching to support your financial future
- Health Savings Account (HSA) with company contributions
- Wellness incentives that reward your preventative healthcare activities
- Tuition assistance to support your education and growth
- Flexible time off and company-paid holidays
- Social and fun events to build community at our locations!
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
