What are the responsibilities and job description for the Lead AI Architect position at Motion Recruitment?
We are seeking an experienced Lead Architect with a strong background in SaaS systems and modern cloud platforms. In this position, you will be responsible for the full lifecycle of platform architecture — from vision and design to implementation and iteration — across scalable, AI-driven software products. You will act as a bridge between engineering, product, and delivery teams to ensure technical excellence, architectural consistency, and alignment with long-term product strategy.
The ideal candidate has previously led the architecture of complex SaaS or data platforms, is comfortable making decisions in uncertain or fast-changing environments, and can mentor senior developers while ensuring the platform remains performant, secure, and cost-efficient. This position is hybrid to our office in Tempe, Arizona.
Required Skills & Experience
The ideal candidate has previously led the architecture of complex SaaS or data platforms, is comfortable making decisions in uncertain or fast-changing environments, and can mentor senior developers while ensuring the platform remains performant, secure, and cost-efficient. This position is hybrid to our office in Tempe, Arizona.
Required Skills & Experience
- 10 years of professional software development experience
- Extensive experience architecting and scaling SaaS platforms or large distributed systems
- Strong understanding of cloud-native technologies, including Kubernetes and managed cloud services (AWS, Azure, or GCP)
- Proven ability to design high-performance, reliable systems that meet defined SLOs
- Experience with AI, machine learning, or generative AI systems
- Strong communication skills and experience collaborating across engineering, product, and security functions
- Experience implementing testing and development standards across large codebases
- Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience
- Experience in organizations building AI-powered or data-intensive products
- Strong knowledge of distributed systems, observability, and scalability in multi-tenant SaaS environments
- Prior experience mentoring senior engineers and leading architecture initiatives across teams
- Familiarity with compliance frameworks or regulations related to AI and data security (e.g., EU AI Act)