Principal Enterprise Architect - AI
Based in the United StatesFull-TimePrincipal
Salary106,080 - 176,820.8 USD per year
Apply NowOpens the employer's application page
Job Details
- Experience
- 8+ years of experience in enterprise or solution architecture roles, including at least 4 years focused on AI/ML-driven initiatives
- Required Skills
- Artificial IntelligenceMachine LearningAzureMicroservicesMLOps
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 complex healthcare or enterprise environments.
- Strong expertise in AI/ML frameworks such as TensorFlow and PyTorch, and MLOps platforms such as Kubeflow or MLflow.
- Deep knowledge of cloud platforms (Azure preferred), including cloud-native architecture, data services, and distributed systems design.
- Strong background in API design, microservices architecture, messaging systems (Kafka, RabbitMQ), and event-driven architectures.
- Hands-on experience integrating conversational AI and chatbot solutions across enterprise systems.
- Experience with data ecosystems including data lakes, data warehouses, and tools such as Databricks, Snowflake, SQL Server, CosmosDB.
- Familiarity with healthcare interoperability standards (FHIR, HL7) and data privacy regulations (HIPAA, GDPR).
- Strong understanding of enterprise architecture frameworks such as TOGAF, Zachman, DODAF, or FEAF.
- Ability to model and communicate complex architectures using EA tools.
- Bachelor’s degree required; Master’s degree in Computer Science, Engineering, or related field preferred.
Responsibilities
- 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.
- Work closely with engineering, product, and clinical teams to translate AI strategies into executable technical roadmaps.
View Full Description & ApplyYou'll be redirected to the employer's site
