Define and drive enterprise architecture for AI automation and business transformation.
Improve operational efficiency, resilience, and process quality by establishing scalable AI automation architecture standards and governance guardrails.
Accelerate transformation delivery and reduce rework through clear design frameworks, decision models, and reusable automation patterns.
Embed AI-first architectural practices that improve automation scale, decision quality, and measurable business outcomes.
Partner across business, platform, data, security, and engineering functions to create shared clarity from concept through execution for transformation initiatives.
Requirements
B.S. in Computer Science or Engineering (required)
10+ years of experience in solution, enterprise, or platform architecture roles
Strong hands-on experience with modern automation and integration platforms (iPaaS and workflow orchestration tools)
Experience architecting for platforms such as n8n, Boomi or similar platforms like mulesoft/workato, or comparable automation ecosystems
Experience designing AI-enabled, API-driven, and event-based architectures for enterprise workflows and transformation initiatives
Deep understanding of automation patterns, middleware, data transformation, agent orchestration, and human-in-the-loop workflow design
Strong knowledge of REST, webhooks, OAuth, SSO, API security, and governance best practices for AI-enabled systems
Experience with cloud-native architectures and AI/ML services (AWS, Azure, or GCP)
Proven ability to influence enterprise-wide technical direction and partner effectively with AI Automation Engineers, BSAs, and cross-functional leaders.
Tech Stack
AWS
Azure
Cloud
Google Cloud Platform
Benefits
Health & Wellness Benefits vary by location but generally include private medical, life, and disability insurance.