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
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