Principal Enterprise Architect, AI Health Cloud

• Lead the architecture and full-stack implementation of end-to-end AI/ML platform and solution architectures, ensuring seamless integration with enterprise systems and healthcare data sources.
• Design and develop scalable APIs and microservices using frameworks and technologies such as .NET, C#, and REST-based services.
• Define, document, and enforce platform and integration architecture standards, including data contracts, API security, and interoperability patterns.
• Partner with AI/ML engineers, product managers, and data engineers to translate business requirements into cloud-native, reusable platform capabilities.
• Architect and optimize LLM-based systems, including retrieval-augmented generation (RAG) pipelines, vector databases, and agentic AI frameworks such as LangChain or AutoGen.
• Design and evolve the overall AI/ML platform architecture, including model lifecycle management and reusable AI services.
• Ensure all platform components and solutions are secure, HIPAA-compliant, and aligned with healthcare interoperability standards such as FHIR and HL7.
• Evaluate and integrate third-party AI services, open-source tools, and cloud-native components into the platform architecture.
• Provide architectural leadership across model training, deployment, monitoring, and retraining to ensure performance and scalability.

Experience: 15+ years of overall experience in solution architecture, including at least 10+ years focused on platform and enterprise integration architecture. Demonstrated experience designing and delivering AI-powered healthcare or pharmacy platforms and solutions.

Technical Skills: Strong background in AI/ML system architecture, including multi-agent systems and RPA. Extensive experience building and integrating APIs and services using .NET and C#. Deep knowledge of cloud platforms (Azure preferred), containerization technologies like Docker and Kubernetes, and hands-on expertise with Generative AI, RAG architectures, and vector databases.

Compliance & Communication: Strong understanding of healthcare data standards, security controls, and compliant data handling practices. Excellent communication skills with the ability to collaborate effectively across technical and non-technical stakeholders.

Preferred Qualifications

• Background in AI/ML engineering, data science, or biomedical informatics.
• Experience with responsible AI practices, including model interpretability, governance, and bias mitigation.
• Advanced degree (MS or PhD) in Computer Science, AI/ML, or a related technical field.

The compensation for this position is a bill rate of up to $180.00 per hour. Compensation may be adjusted depending on geographic location, qualifications, and experience. Our organization offers a comprehensive benefits package to eligible employees.

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Everforth Apex uses a virtual recruiter as part of the application process. Click for more details.