Company
Healthcare
PRINCIPALENTERPRISEARCHITECT-AI
Neural analysis suggests this role is
optimal for Senior candidates.
“PRINCIPAL ENTERPRISE ARCHITECT - AI. Skills: Enterprise Architecture, AI/ML, Cloud Platforms, MLOps. Define enterprise-wide AI architecture strategy. Design scalable frameworks for integrating AI/ML models”
Industry & Context.
Cost evaluation; Scalability evaluation; Performance evaluation; Long-term sustainability evaluation
What They're Looking For.
Must Have
8+ years enterprise architecture, 8+ years solution architecture, 4+ years AI/ML initiatives, Proven experience leading large-scale enterprise AI transformation programs, Expertise in AI/ML frameworks, Expertise in MLOps platforms, Deep knowledge of cloud platforms, Background in API design, Background in microservices architecture, Background in messaging systems, Background in event-driven architectures, Hands-on experience integrating conversational AI, Hands-on experience integrating chatbot solutions, Experience with data ecosystems, Familiarity with healthcare interoperability standards, Familiarity with data privacy regulations, Understanding of enterprise architecture frameworks, Experience working in agile environments, Experience working in DevSecOps environments, Ability to model complex architectures, Ability to communicate complex architectures
Nice to Have
Master’s degree in Computer Science, Master’s degree in Engineering, Master’s degree in related field, Azure preferred
What You'll Do.
Define enterprise-wide AI architecture strategy
Design scalable frameworks for integrating AI/ML models
Establish and govern API-first patterns
Establish and govern microservices patterns
Establish and govern event-driven architecture patterns
Oversee integration of AI solutions
Collaborate with data engineering teams
Collaborate with analytics teams
Evaluate architectural options
Lead adoption of MLOps practices
Ensure compliance with healthcare interoperability standards
Ensure compliance with regulatory requirements
Provide architectural guidance for cloud-native solutions
Work closely with engineering teams
Work closely with product teams
Work closely with clinical teams
Define architecture governance frameworks
Enforce architecture governance frameworks
Mentor engineering teams
Mentor architecture teams
Contribute to enterprise technology vision
Contribute to innovation strategy
How You'll Work.
Team & Collaboration
Cross-functional teams; Clinical teams; Product teams; Engineering teams
Communication Scope
Stakeholder management; Influence technical audiences; Influence non-technical audiences
Process & Methodology
Technical roadmaps
Full Job Description
## Accountabilities Define and lead the enterprise-wide AI architecture strategy, ensuring alignment with business goals across clinical, operational, and enterprise systems. Design scalable frameworks for integrating AI/ML models, conversational AI solutions, and automation capabilities across multiple platforms and applications. Establish and govern API-first, microservices, and event-driven architecture patterns to enable secure and efficient system interoperability. Oversee the integration of AI solutions across healthcare systems, including back-office operations, patient engagement platforms, and enterprise analytics environments. Collaborate with data engineering and analytics teams to design architectures leveraging data platforms such as data lakes, warehouses, and data fabric solutions. Evaluate architectural options, including cost, scalability, performance, and long-term sustainability, ensuring optimal enterprise decision-making. Lead the adoption of MLOps practices and tools to support the deployment, monitoring, and lifecycle management of AI models. Ensure compliance with healthcare interoperability standards (FHIR, HL7) and regulatory requirements such as HIPAA and GDPR. Provide architectural guidance for cloud-native solutions across Azure and other cloud platforms, including infrastructure, security, and integration design. Work closely with engineering, product, and clinical teams to translate AI strategies into executable technical roadmaps. Define and enforce architecture governance frameworks, leveraging industry standards such as TOGAF, Zachman, or FEAF. Mentor engineering and architecture teams while contributing to enterprise technology vision and innovation strategy. Requirements 8+ years of experience in enterprise or solution architecture roles, including at least 4 years focused on AI/ML-driven initiatives in healthcare or highly regulated industries. Proven experience leading large-scale enterprise AI transformation programs within com
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