Description

Lead enterprise AI architecture and strategy while building scalable, cloud-native AI applications.

This role is remote.

Responsibilities

• Define and lead the organization's enterprise AI architecture strategy and long-term technical roadmap.
• Design, develop, and deploy scalable AI-powered applications, distributed systems, and cloud-native solutions using Python.
• Architect scalable APIs, microservices, and distributed application platforms on AWS and/or Google Cloud Platform.
• Develop and manage Infrastructure as Code (IaC) solutions using Terraform and build CI/CD pipelines.
• Mentor senior engineers, lead architecture reviews, and establish AI governance and responsible AI practices.

Required Skills

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 15+ years of professional software engineering experience.
• Expert-level Python development experience.
• Minimum of 2 years of experience designing and developing AI-powered applications or enterprise AI solutions.
• Strong experience with Generative AI technologies and AI application architecture.
• Experience designing and deploying cloud-native applications on AWS and/or Google Cloud Platform (GCP).
• Strong experience with Infrastructure as Code (IaC) using Terraform.
• Experience implementing and maintaining CI/CD pipelines.
• Experience using AI-assisted development tools such as Claude, Codex, GitHub Copilot, or similar platforms.

Preferred Skills

• Recognized expertise in Artificial Intelligence and Machine Learning with enterprise-scale implementation experience.
• Experience with modern front-end technologies such as Vue.js, React, or Angular.
• Experience leading enterprise AI transformation programs and establishing AI governance frameworks.

Key Skills

Education

Bachelor's degree