Lead Enterprise Architect MLOps - Remote

Overview

The Lead Enterprise MLOps Architect is responsible for designing and orchestrating the entire framework for building, deploying, and managing machine learning models at scale across an organization. This role blends software engineering, data science, and DevOps principles to create efficient and reliable ML systems.

In Short

• Design and orchestrate frameworks for ML model management.
• Blend software engineering, data science, and DevOps principles.
• Build AI/ML Strategy and Roadmap.
• Utilize MLOps tools like AWS Sagemaker and GCP Vertex Studio.
• Implement containerization using Kubernetes.
• Orchestrate ML and data pipelines with tools like Kubeflow.
• Integrate enterprise applications such as Guidewire and Salesforce.
• Develop data architecture guidelines and strategies.
• Strong knowledge of event-driven architecture principles.
• Collaborate with various stakeholders to influence solutions.

Requirements

• Experience in building AI/ML Strategy & Roadmap.
• Strong knowledge of data mesh architecture.
• Expertise in designing scalable, decoupled systems.
• Experience in developing data architecture guidelines.
• Strong understanding of security in distributed systems.
• Strong functional knowledge in the insurance domain.
• Excellent communication and storytelling skills.
• Ability to collaborate and influence stakeholders.
• Problem-solving and critical thinking abilities.
• Adaptability and a commitment to continuous learning.

Benefits

• Work with a leading insurance provider.
• Opportunity to influence and shape AI/ML strategies.
• Collaborative work environment.
• Continuous learning and professional development.
• Competitive compensation and benefits.