Enterprise Architect

The Enterprise Architect is a senior technology leader responsible for defining and evolving the enterprise architecture of Banyan HQ. You will own the current-state and target-state architecture for our corporate technology stack, and build the roadmaps, standards, and integration patterns that let a fast-growing, acquisition-driven organization scale without accumulating complexity. We are building an AI-native enterprise: one where AI is not bolted on after the fact, but designed into our systems, data, workflows, and infrastructure from the start.

Responsibilities

Define and maintain current-state and target-state architecture for HQ systems, and build transition roadmaps; Establish architecture principles, reference patterns, and technology standards, and run a lightweight review process; Design and govern integrations across the core stack (Microsoft 365, Okta, NetSuite, Salesforce, Slack, Zoom, and related SaaS platforms); Work with the Director, Security to achieve the zero-trust network vision, including MDM, Zscaler VPN/ZTNA, and endpoint security; Make AI-native a standing architectural principle for new systems, integrations, and platforms; Own the architecture of enterprise AI infrastructure, including model and API access, MCP and connector ecosystems, orchestration and automation layers, and identity, logging, and cost controls; Collaborate with the Lead AI Architect on the design of Consolidated Data Platforms and permission-aware data access for AI; Design business processes and integrations that AI agents can safely execute or assist, with human-in-the-loop checkpoints, auditability, and rollback paths; Partner with Security and Legal to define AI governance guardrails; Support AI enablement initiatives and help quantify the value AI delivers across HQ functions; Evaluate emerging technologies and vendors, and lead rationalization of overlapping tools and platforms; Maintain architectural documentation and system-of-record diagrams; Partner with IT, Security, and Finance on capacity, licensing, and total cost of ownership planning; Contribute to enterprise-wide technology strategy; Translate architecture into business terms for executive stakeholders; Promote an architecture-aware, AI-forward culture; Mentor IT staff on architecture thinking, AI fluency, and best practices

Requirements

Bachelor's degree in Computer Science, Information Technology, or a related field, plus 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; Demonstrated experience architecting for enterprise AI adoption: LLM platforms and APIs, agentic and automation frameworks, retrieval and knowledge architectures, and the surrounding identity, security, and cost controls; Deep expertise with enterprise architecture frameworks (TOGAF, Zachman, or similar); certification preferred; Strong experience with cloud platforms (Google Cloud, AWS, or Azure) and modern SaaS-first, API-driven architectures; Hands-on familiarity with identity and integration platforms (Okta or similar IdP, iPaaS/middleware, ERP and CRM ecosystems such as NetSuite and Salesforce); Strong grasp of data architecture as the foundation for AI: data quality, contracts, lineage, and permission-aware access patterns; Strong communicator with the ability to explain architecture in business terms and build trust with executive leadership; Collaborative, pragmatic, and able to thrive in a fast-paced environment