[Hiring] AI/Python Developer @Saxon Global

Role Description

The AI Developer IV is a principal-level expert responsible for defining and owning enterprise-wide AI technical architecture while remaining hands-on in writing production code. This role provides organizational leadership for AI initiatives, leads highly complex and high-impact AI transformations, and serves as a trusted technical advisor to executive leadership.

The successful candidate will establish AI governance frameworks, influence long-term technology strategy, mentor senior engineering talent, and guide the adoption of emerging AI technologies across the organization. This position plays a critical role in advancing an AI-first engineering culture and driving innovation through modern software development practices.

Key Responsibilities

• Define and lead the organization's enterprise AI architecture strategy.
• Design, build, and deploy scalable AI-powered applications and distributed systems.
• Provide technical leadership for large-scale AI transformation initiatives.
• Develop production-quality software and remain hands-on with coding and solution implementation.
• Partner with engineering, product management, research scientists, and business stakeholders to deliver strategic objectives.
• Establish AI governance, best practices, security standards, and ethical AI frameworks.
• Evaluate emerging AI technologies and recommend strategic investments.
• Mentor senior engineers and cultivate future technical leaders.
• Drive adoption of AI-assisted development tools and modern engineering practices.
• Guide teams through architectural decisions involving cloud platforms, AI services, and data ecosystems.
• Lead technical design reviews and influence enterprise-wide engineering standards.
• Support multiple project teams operating in quarterly delivery cycles.

Team Environment

• Cross-functional teams consisting of:
• Software Engineers
• Research Scientists
• Product Managers
• AI/ML Engineers
• Typical project teams range from 1–5 engineers.
• Agile delivery model with quarterly planning and execution cycles.
• Strong focus on AI-first software engineering practices.
• Active use of AI-assisted development tooling.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related technical field.
• 15+ years of software engineering experience.
• Extensive experience designing and implementing enterprise-scale AI solutions.
• Expert-level Python development experience.
• Proven experience building scalable distributed systems.
• Strong understanding of AI/ML technologies and modern software architecture.
• Experience designing cloud-native applications within AWS and/or GCP environments.
• Strong expertise in infrastructure automation and Infrastructure as Code (Terraform).
• Experience leading large technical programs and influencing organizational strategy.
• Excellent communication and stakeholder management skills.

Required Technical Skills

• Backend Development
• Python (required)
• Strong backend engineering experience
• API and microservices design
• Frontend Development
• Vue.js (preferred)
• React or Angular acceptable
• Cloud & Infrastructure
• AWS and/or Google Cloud Platform (GCP)
• Terraform
• Cloud-native architecture
• Distributed systems
• DevOps & Development Tools
• GitLab
• CI/CD pipelines
• Infrastructure automation
• Artificial Intelligence
• Generative AI technologies
• AI application architecture
• AI-assisted development tools
• Experience with tools such as:
• Claude
• Codex
• GitHub Copilot
• Similar AI engineering platforms