Enterprise Architect - AI, Healthcare

Key Responsibilities:

• Define and maintain enterprise-wide digital and AI architecture blueprints.
• Develop future-state architectures that support scalability, security, and interoperability across platforms.
• Apply enterprise architecture frameworks such as TOGAF, Zachman, or similar to guide architectural decisions.
• Establish governance models and reference architectures for digital transformation initiatives.
• Lead the design and integration of cloud-native solutions, microservices, and API ecosystems.
• Ensure cloud platforms are optimized for performance, cost, and compliance.
• Architect secure systems that meet regulatory and enterprise standards.
• Design integration strategies across legacy systems, cloud platforms, and AI services.
• Partner with business, data, and engineering teams to align architecture with strategic goals.
• Provide architectural oversight and mentorship to solution architects and technical teams.

Mandatory Skills & Qualifications:

• Deep expertise in enterprise architecture frameworks (e.g., TOGAF, Zachman).
• Strong knowledge of cloud platforms (e.g., AWS, Azure, GCP) and API strategy.
• Proven experience in security, scalability, and integration of enterprise systems.
• Ability to translate business strategy into technical architecture.

Preferred Qualifications:

• Experience in Healthcare IT architecture, including compliance and interoperability standards.
• Familiarity with AI model deployment architectures, including MLOps and model lifecycle management.
• Advanced degree in Computer Science, Information Systems, or related field.
• Relevant certifications (e.g., TOGAF, AWS/Azure Architect).