Principal Architect – Enterprise AI

Bitovi

Principal Architect responsible for defining AI architecture standards and strategies at Avalara. Collaborating with teams to facilitate AI adoption and solution implementation.

Posted 7/24/2026full-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 enterprise architecture, focusing on AI-enabled solutions, governance frameworks, and scalable architecture patterns. Proficient in guiding teams through the adoption of AI technologies and ensuring implementation readiness across various platforms.

Highest-signal resume keywords

Enterprise ArchitectureAI/LLM Tools PrototypingCloud Infrastructure ExperienceTOGAF FrameworkAutomation Platform Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Enterprise Architecture StandardsArchitecture GovernanceData Access SecurityAI Model TestingAPI IntegrationCloud Platform DesignDecision ModelsProof-of-Concept DesignArchitecture Review LeadershipAI Enablement Programs

Soft Skills

Team GuidanceCommunicationCollaborationWorkshop FacilitationPublic Speaking

Tools & Technologies

AWSAzureGCPN8nBoomiMuleSoftWorkatoAI/ML Services

Certifications & Qualifications

Bachelor's Degree in Computer ScienceEngineering Degree

Industry Keywords

AI AdoptionGovernance FrameworksIntegration PatternsAgent FrameworksScalable Architecture

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

Define and maintain enterprise architecture standards, reference patterns, and governance guardrails for AI-enabled solutions moving from pilot to production.
Establish decision models for build, buy, or integrate choices; model and vendor selection; data access; security; and responsible AI adoption.
Design scalable architecture patterns for AI-enabled workflows and agentic processes across data, APIs, identity, security, and cloud platforms.
Test new AI models, LLMs, agent frameworks, and tools to inform enterprise adoption.
Design proof-of-concepts, define success criteria, and guide solutions from pilot to production.
Lead architecture reviews and communicate trade-offs, risks, and growth to partners.
Partner with teams to translate needs into governed, implementation-ready solutions.
Ensure teams through demos, workshops, and reusable templates to support safe AI adoption.

Requirements

What you’ll need

Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
10+ years of experience in enterprise, solution, or platform architecture, including architecture standards, reference patterns, and governance frameworks.
Platform architecture experience across integrations, data, cloud infrastructure, APIs, identity, and security.
Hands-on experience building and prototyping with modern AI/LLM tools, APIs, and agent frameworks.
Experience with enterprise architecture frameworks such as TOGAF or equivalent.
Experience with AWS, Azure, or GCP and associated AI/ML services.
Experience guiding teams and executive decision-making.
Experience with AI enablement programs, workshops, or communities of practice.
Experience architecting automation, integration, or orchestration platforms such as n8n, Boomi, MuleSoft, or Workato.
Public writing, speaking, or open-source contributions related to applied AI.

Benefits

Comp & perks

Health & Wellness Benefits vary by location but generally include private medical, life, and disability insurance.
Paid time off
Paid parental leave
Many Avalara employees are eligible for bonuses.
Inclusive culture and diversity