Principal Software Engineer + AI Architect + Cloud Architect + Technical Leader

We are seeking a highly experienced AI Developer IV / Principal AI Engineer to provide technical vision, architectural leadership, and hands-on development expertise for enterprise-scale AI initiatives.

This is a principal-level position combining AI architecture, software engineering, cloud-native development, distributed systems, and technical leadership.

The engineer will define enterprise AI architecture, establish technical standards, lead complex AI transformations, and remain actively involved in production software development., * Define and lead enterprise-wide AI architecture strategy.

• Design, build, and deploy scalable AI-powered applications and distributed systems.
• Provide technical leadership for large-scale AI transformation programs.
• Write production-quality software and remain hands-on with development.
• Work with engineering, product, research, and business stakeholders.
• Establish AI governance, security standards, best practices, and responsible-AI frameworks.
• Evaluate emerging AI technologies and recommend strategic investments.
• Mentor senior engineers and develop technical leadership within engineering teams.
• Drive adoption of AI-assisted software development tools and practices.
• Guide architectural decisions involving cloud platforms, AI services, and enterprise data ecosystems.
• Lead technical design reviews and influence enterprise engineering standards.
• Support multiple project teams operating on quarterly delivery cycles.

Team Environment

The position works within cross-functional teams that may include:

• Software Engineers
• Research Scientists
• Product Managers
• AI/ML Engineers

Typical project teams consist of approximately 1 5 engineers and operate using an Agile quarterly planning and delivery model. The environment emphasizes AI-first software engineering and AI-assisted development.

• Bachelor’s degree in Computer Science, Engineering, or related technical field.
• 15+ years of software engineering experience.
• Extensive experience designing and implementing enterprise-scale AI solutions.
• Expert-level Python development.
• Experience building scalable distributed systems.
• Strong understanding of AI/ML technologies and modern software architecture.
• Experience designing cloud-native applications using AWS and/or Google Cloud Platform (Google Cloud Platform).
• Strong Infrastructure-as-Code experience, particularly Terraform.
• Experience leading major technical programs and influencing technology strategy.
• Excellent communication and stakeholder-management skills.

Required Technical Skills

Backend

• Python required
• Enterprise backend engineering
• API design
• Microservices architecture

Frontend

• Vue.js preferred
• React or Angular acceptable

Cloud & Infrastructure

• AWS and/or Google Cloud Platform
• Terraform
• Cloud-native architecture
• Distributed systems

DevOps

• GitLab
• CI/CD pipelines
• Infrastructure automation

Artificial Intelligence

• Generative AI
• AI application architecture
• AI-assisted software development

• AI engineering platforms such as:

• Claude
• Codex
• GitHub Copilot
• Similar AI development platforms, * Recognized subject-matter expertise in AI/ML with enterprise-scale impact.
• Experience establishing AI governance frameworks.
• Experience leading enterprise AI transformation programs.
• Strong data-platform and data-ecosystem background.
• Advanced understanding of emerging AI technologies and AI strategy.
• Demonstrated experience mentoring senior engineers and technical leaders.