AI Enterprise Architect

Key Responsibilities & Skills

• AI Strategy & Solution Design
• Agentic Automation Architecture
• Enterprise AI Integration
• Business Requirements Translation
• Architecture Governance & Standards
• Stakeholder Management
• Technology Roadmapping
• Digital Transformation Leadership
• Responsible AI & Risk Management
• Scalable AI Ecosystem Design
  
  

Technical Skills

• Machine Learning Frameworks (TensorFlow / PyTorch)
• LLM Platforms (OpenAI / Anthropic)
• AI Services (AWS SageMaker / Azure AI / Google Vertex AI)
• Workflow Orchestration (Airflow / Camunda)
• API Management (REST / GraphQL)
• Enterprise Integration (MuleSoft / Apache Kafka)
• Cloud Platforms (AWS / Azure / GCP)
• Infrastructure as Code (Terraform / CloudFormation)
• Containerization (Docker / Kubernetes)
• Programming Languages (Python / Java / C#)
• Enterprise Architecture Frameworks (TOGAF)
  
  

Education

Bachelor's Degree in Computer Science, Software Engineering, Information Systems, Computer Engineering, Data Science, Artificial Intelligence. Preferred: Master's Degree in Computer Science, Master's in Artificial Intelligence, MBA, PhD in AI / Machine Learning.

Industry Experience

• Healthcare & Insurance
• Enterprise Software
• AI & Machine Learning
• Digital Transformation
• Cloud Computing
• Enterprise Architecture
  
  

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