Description

Key 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.

• Provide technical leadership for enterprise AI transformation initiatives across multiple engineering teams.

• Develop production-quality software using Python and modern software engineering practices.

• Architect scalable APIs, microservices, and distributed application platforms.

• Partner with engineering, product management, research scientists, AI/ML engineers, and business stakeholders to deliver strategic AI initiatives.

• Establish AI governance, security standards, responsible AI practices, and enterprise engineering guidelines.

• Evaluate emerging AI technologies and recommend strategic technology investments and adoption strategies.

• Drive the adoption of AI-assisted software development tools and modern engineering practices.

• Design cloud-native architectures using AWS and/or Google Cloud Platform (GCP).

• Develop and manage Infrastructure as Code (IaC) solutions using Terraform.

• Build and optimize CI/CD pipelines to support enterprise software delivery.

• Lead architecture reviews, technical design sessions, and engineering governance activities.

• Mentor senior engineers and cultivate technical leadership across engineering organizations.

• Guide engineering teams through architectural decisions involving AI services, cloud platforms, distributed systems, and enterprise data ecosystems.

• Support multiple Agile project teams operating within quarterly planning and delivery cycles.

• Promote engineering excellence through best practices, code reviews, technical standards, and continuous improvement initiatives.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field.

• 15+ years of professional software engineering experience.

• Minimum of 2 years of experience designing and developing AI-powered applications or enterprise AI solutions.

• Expert-level Python development experience.

• Extensive experience designing scalable enterprise applications, distributed systems, and microservices architectures.

• 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 leading large-scale technical programs and enterprise architecture initiatives.

• Strong understanding of modern software architecture, cloud engineering, and distributed computing principles.

• Experience using AI-assisted development tools such as Claude, Codex, GitHub Copilot, or similar platforms.

• Strong analytical, troubleshooting, and problem-solving skills.

• Excellent verbal and written communication skills with the ability to influence executive leadership, business stakeholders, and engineering teams.

• Ability to work remotely during Central Time (CST) core business hours.

Preferred Qualifications

• Recognized expertise in Artificial Intelligence and Machine Learning with enterprise-scale implementation experience.

• Experience establishing AI governance frameworks and responsible AI practices.

• Experience leading enterprise AI transformation programs.

• Strong background in enterprise data platforms, data engineering, and data ecosystems.

• Experience with modern front-end technologies such as Vue.js, React, or Angular.

• Experience mentoring senior engineers, architects, and technical leaders.

• Deep understanding of emerging AI technologies, enterprise AI strategy, and cloud modernization initiatives.

• Experience working in Agile software development environments and leading cross-functional engineering teams

Key Skills

Education

Bachelor's degree