PRINCIPAL ENTERPRISE ARCHITECT - AI

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Enterprise Architect - AI based in the United States.

This is a senior enterprise architecture leadership role focused on defining and scaling artificial intelligence capabilities across a complex healthcare ecosystem. The position is responsible for shaping end-to-end AI architecture strategies that integrate seamlessly across clinical, operational, and enterprise systems. You will play a pivotal role in enabling scalable AI-driven solutions, including conversational AI, machine learning platforms, and intelligent automation across multiple business domains. Working at the intersection of technology, data, and healthcare operations, you will ensure that architectural decisions align with long-term business goals and regulatory requirements. The role requires deep technical expertise combined with strategic vision to unify disparate systems into a cohesive AI-enabled architecture. This is a high-impact opportunity to influence enterprise-wide digital transformation in a mission-driven healthcare environment.

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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 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, and similar technologies.
• 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.
• Experience working in agile and DevSecOps environments to deliver secure and scalable AI solutions.
• Ability to model and communicate complex architectures using EA tools and structured documentation.
• Excellent communication and stakeholder management skills with the ability to influence technical and non-technical audiences.
• Bachelor’s degree required; Master’s degree in Computer Science, Engineering, or related field preferred.

Benefits

• Competitive base salary ranging from $106,080 to $176,820.80, depending on experience, skills, and qualifications.
• Comprehensive health insurance including medical, dental, and vision coverage.
• Paid time off, sick leave, and paid parental and family caregiver leave.
• Retirement benefits including 401(k)/403B with employer match.
• Tuition assistance and access to discounted educational programs.
• Student debt repayment support.
• Adoption, fertility, and surrogacy reimbursement benefits.
• Life insurance, disability coverage, and critical illness protection.
• Annual discretionary bonus opportunities based on eligibility.
• Certification reimbursement and access to ongoing professional development and CEUs.
• Flexible remote work eligibility in approved U.S. states.
• Mission-driven environment focused on improving healthcare outcomes at scale.
• Inclusive workplace culture emphasizing diversity, equity, and belonging.

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How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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