Principal Enterprise AI Architect

Bitovi

Principal Enterprise AI Architect at Avalara, defining enterprise architecture for AI automation and business transformation initiatives. Enhancing operational efficiency and scalability in a fully remote role.

Posted 7/23/2026full-timeRemote • California, Colorado, New York, Washington • 🇺🇸 United StatesLead💰 $153,300 - $306,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing scalable AI automation architectures and governance frameworks that enhance operational efficiency and decision quality. Proficient in leading cross-functional initiatives and translating enterprise needs into implementable technical designs for automation and integration platforms.

Highest-signal resume keywords

AI Automation ArchitectureN8n Platform ExperienceAPI-Driven Architecture DesignCloud-Native ArchitecturesAutomation Governance Best Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Solution ArchitectureEnterprise ArchitectureAutomation PatternsMiddleware DesignData TransformationAgent OrchestrationREST API KnowledgeOAuth SecurityEvent-Driven ArchitectureAI/ML Services

Soft Skills

Influencing Technical DirectionCross-Functional Collaboration

Tools & Technologies

IPaaSWorkflow Orchestration ToolsBoomiMulesoftWorkatoAWSAzureGCP

Certifications & Qualifications

B.S. in Computer ScienceB.S. in Engineering

Industry Keywords

Automation EcosystemsHuman-in-the-Loop WorkflowsGovernance GuardrailsScalabilityOperational Risks

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

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
Enhance employee and customer experience by reducing manual work, process fragmentation, and automation risk
Embed AI-first architectural practices that improve automation scale, decision quality, and measurable business outcomes
Lead evaluation of AI automation, agentic workflow, and transformation initiatives across the organization
Define architectural decision frameworks and long-term platform strategy for n8n, Boomi, APIs, event-driven orchestration, and AI services to reduce duplication and increase reuse
Establish governance guardrails for AI-enabled workflows, agents, prompts, models, data flows, and human-in-the-loop controls to ensure scalability, reliability, auditability, and responsible use
Anticipate growth, compliance, security, and operational risks across automation platforms and transformation programs before they materialize
Influence cross-functional roadmaps with AI Automation Engineers, BSAs, and business leaders based on architectural trade-offs, platform fit, and measurable outcomes
Translate enterprise capability needs into clear, implementable technical designs that accelerate AI automation delivery
Create architectural blueprints for intelligent workflows, agentic process patterns, and cross-system orchestration that reduce ambiguity and minimize rework
Design secure, scalable, and resilient automation patterns across SaaS systems, internal platforms, APIs, data ecosystems, and AI/ML services
Drive API-first, event-driven, and human-in-the-loop architecture standards that improve interoperability, control, and long-term maintainability
Lead architecture reviews and represent AI automation and transformation strategy in executive and cross-functional forums

Requirements

What you’ll need

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.

Benefits

Comp & perks

Paid time off
Paid parental leave
Health & Wellness Benefits vary by location but generally include private medical, life, and disability insurance