Enterprise Architect

We are seeking a Senior Enterprise Architect to lead the design of enterprise-scale, cloud-native MLOps and data platforms on AWS. This role focuses on architecture strategy, platform governance, and ML lifecycle design-not hands-on model development or pipeline engineering., * Lead enterprise MLOps architecture across the ML lifecycle: ingestion, training, deployment, monitoring, and retraining

• Design scalable AWS-based reference architectures for ML and data platforms
• Define governance standards for model lifecycle management, lineage, auditability, reproducibility, and responsible AI
• Architect Real Time and batch ML inference solutions using microservices and event-driven patterns
• Establish CI/CD standards for ML platforms and integrate with enterprise DevOps tooling
• Drive AWS cloud modernization initiatives including landing zones and multi-account strategies
• Partner with engineering, security, and business stakeholders to deliver secure, scalable solutions
• Produce architecture artifacts including diagrams, roadmaps, and standards documentation

The ideal candidate has deep expertise in AWS cloud architecture, MLOps platform design, and enterprise governance frameworks, with the ability to define scalable reference architectures and standards across multiple teams., * 12+ years in software engineering, cloud architecture, or data platforms

• 5+ years as a Solution or Enterprise Architect in AWS environments
• Strong background in cloud-native and distributed systems architecture

Technical Expertise

• AWS services: EKS/ECS, Lambda, Step Functions, S3, IAM, VPC
• Multi-account AWS environments and landing zones
• Infrastructure as Code (Terraform or CloudFormation)
• Observability, resiliency, and security architecture
• End-to-end ML lifecycle architecture
• Model governance, lineage, and responsible AI controls
• Monitoring, drift detection, and CI/CD for ML

Preferred Qualifications

• Experience with SageMaker, Domino Data Lab, or similar ML platforms
• TOGAF and/or AWS certifications
• Security certifications such as CISSP are a plus

What This Role Is Not

• Not a Data Scientist or ML Engineer role
• Not a DevOps implementation role
• Not focused on AIOps or IT operations automation