Enterprise Solution Architect, AI Health Cloud

BrightSpring Health Services • Louisville, KY

2d

About The Position

Our Company BrightSpring Health Services Overview We are seeking a highly experienced Enterprise Architect to lead the end-to-end architecture of our AI-enabled Health Cloud Platform , supporting clinical, pharmacy, and operational workflows. This role is responsible for defining and governing enterprise architecture across cloud, data, AI, and application layers , driving scalable, secure, and compliant solutions leveraging Azure, Databricks, open-source technologies, and modern application frameworks . You will collaborate with cross-functional teams to architect next-generation AI platforms , including Generative AI, Agentic AI, RAG, intelligent automation, and Computer Using Agents , ensuring alignment with healthcare interoperability and compliance standards.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 10+ years of experience architecting end-to-end enterprise cloud solutions .
• Deep expertise in Azure cloud architecture (compute, storage, networking, and security).
• Strong experience with Databricks and modern data platforms (lakehouse architecture, data pipelines).
• Proficiency in .NET / C# application architecture and microservices-based design .
• Hands-on experience with open-source technologies and AI frameworks (e.g., LangChain, MLflow, Hugging Face).
• Strong understanding of distributed systems , including: Event-driven architecture, Pub-sub and messaging systems, Queuing and streaming frameworks, API gateway and integration patterns
• Experience designing secure, HIPAA-compliant healthcare platforms , including data governance.
• Knowledge of interoperability standards (FHIR, HL7, REST APIs).
• Proven experience delivering large-scale, mission-critical platforms in regulated environments .
• Strong communication skills with the ability to influence executive stakeholders and cross-functional teams .
• Experience with AI/GenAI platforms , including RAG, vector search, and agentic systems .
• Experience with MLOps and AI lifecycle management (MLflow, CI/CD, model governance).
• Familiarity with containers and orchestration (Docker, Kubernetes, AKS).
• Experience with multi-cloud or hybrid cloud architectures .

Nice To Haves

• Background in clinical, pharmacy, or PBM systems .
• Contributions to open-source projects or architecture communities .

Responsibilities

• Define and lead enterprise architecture strategy for AI Health Cloud across compute, storage, network, security, data, and application layers .
• Architect end-to-end cloud-native solutions on Azure, integrating Databricks, AI/ML services, and open-source frameworks .
• Design and implement intelligent automation solutions leveraging RPA (Automation Anywhere / UiPath), Generative AI, and agentic frameworks.
• Architect scalable AI/ML and GenAI pipelines , including RAG, vector databases, and agent-based systems .
• Establish architecture patterns for event-driven systems , including eventing, pub-sub, queuing, and streaming architectures .
• Lead application architecture using .NET, C#, and microservices patterns , ensuring high performance and resiliency.
• Define API-first and interoperability frameworks , enabling integration across clinical and pharmacy platforms (FHIR, HL7, APIs).
• Architect secure, compliant solutions aligned to HIPAA, enterprise security, identity, encryption, and governance standards .
• Partner with platform teams to design and scale Databricks lakehouse architectures (Medallion: Bronze/Silver/Gold) .
• Govern architecture decisions, design standards, and reusable frameworks across OLTP and analytics applications , ensuring enterprise-wide consistency, scalability, performance, and seamless integration between transactional and analytical ecosystems .
• Lead evaluation and integration of RPA/CUA tools, APIs, orchestration platforms, and emerging technologies .
• Mentor engineering teams and drive a culture of architectural rigor, innovation, and engineering excellence .
• Document architecture decisions, frameworks, and operational playbooks.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior