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About the role

  • Enterprise Architect defining Banyan Software’s AI-native enterprise architecture. Designing integrations, data foundations, security, and infrastructure for a global software acquisition platform.

Responsibilities

  • Define and maintain current-state and target-state architecture for Banyan HQ systems
  • Build transition roadmaps aligned with business goals
  • Establish architecture principles, reference patterns, and technology standards
  • Run a lightweight architecture review process
  • Design and govern integrations across Microsoft 365, Okta, NetSuite, Salesforce, Slack, Zoom, and related SaaS platforms
  • Partner with Security on zero-trust architecture, MDM, Zscaler VPN/ZTNA, and endpoint security
  • Own AI infrastructure architecture, including model/API access, MCP and connector ecosystems, orchestration, automation, identity, logging, and cost controls
  • Collaborate on consolidated data platforms and AI-ready data foundations
  • Design agent-ready workflows with human-in-the-loop checkpoints, auditability, and rollback paths
  • Define AI governance, data classification, acceptable use, vendor/model evaluation, and monitoring guardrails
  • Turn successful AI pilots into reusable patterns and shared infrastructure
  • Evaluate technologies and vendors, rationalize overlapping tools, and manage lifecycle decisions
  • Maintain architectural documentation and system-of-record diagrams
  • Partner with IT, Security, and Finance on capacity, licensing, total cost of ownership, and AI platform cost management
  • Contribute to enterprise-wide technology strategy
  • Communicate value, risk, and trade-offs to executive stakeholders
  • Mentor IT staff on architecture thinking, AI fluency, and best practices

Requirements

  • Bachelor's degree in Computer Science, Information Technology, or a related field
  • 8+ years of progressive experience in enterprise or solution architecture, ideally in SaaS or high-growth organizations
  • Proven success developing current-state and target-state architectures and transition roadmaps, and gaining endorsement from executive stakeholders
  • Experience architecting for enterprise AI adoption, including LLM platforms and APIs, agentic and automation frameworks, retrieval and knowledge architectures, identity, security, and cost controls
  • Deep expertise with enterprise architecture frameworks such as TOGAF, Zachman, or similar; certification preferred
  • Strong experience with Google Cloud, AWS, or Azure and modern SaaS-first, API-driven architectures
  • Hands-on familiarity with Okta or similar identity providers, iPaaS/middleware, and ERP/CRM ecosystems such as NetSuite and Salesforce
  • Strong grasp of data architecture, including data quality, contracts, lineage, and permission-aware access patterns
  • Ability to explain architecture in business terms and build trust with executive leadership
  • Ability to thrive in a fast-paced environment

Benefits

  • Equal employment opportunity and inclusive workplace commitment
  • Recruitment process accommodation available upon request

Job title

Job type

Full Time

Experience level

SeniorLead

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

AWSAzureCloudERP

Location requirements

RemoteCanada

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