Position Summary
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 to 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
Required 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 Google Cloud Platform 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 (Google Cloud Platform)
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
Preferred Qualifications
- Recognized subject matter expert in AI/ML with enterprise-scale impact
- Experience establishing AI governance frameworks
- Experience leading AI transformation programs
- Strong background in data platforms and data ecosystems
- Advanced understanding of AI strategy and emerging technology trends
- Demonstrated success mentoring senior engineers and technical leaders