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. This role is central to that ambition. It combines hands-on architecture leadership across identity, collaboration, business systems, and data platforms with ownership of the AI infrastructure and architectural foundations that make intelligent, agent-ready systems possible across HQ.

Key Responsibilities

Enterprise Architecture

• Architecture Strategy & Roadmaps: Define and maintain current-state and target-state architecture for HQ systems, and build transition roadmaps that align technology investment with business goals.
• Standards & Governance: Establish architecture principles, reference patterns, and technology standards. Run a lightweight review process that guides decisions without slowing teams down.
• Integration Architecture: Design and govern integrations across our core stack (Microsoft 365 and collaboration suites, Okta, NetSuite, Salesforce, Slack, Zoom, and related SaaS platforms), ensuring reliable data flow and clean system boundaries.
• Security & Zero-Trust Partnership: Work closely with the Director, Security to achieve our zero-trust network vision and architect the platforms that support it, including MDM, Zscaler VPN/ZTNA, and endpoint security, embedding our cloud-first, zero-trust, no-footprint principles into every architectural decision.

AI-Native Architecture & Infrastructure

• AI-Native by Design: Make “AI-native” a standing architectural principle. Every new system, integration, and platform decision is evaluated for how well it exposes data, APIs, and workflows to AI and agentic tooling, not just how it serves human users.
• AI Infrastructure: Own the architecture of the infrastructure that supports enterprise AI adoption: model and API access (including platforms such as Anthropic's Claude), MCP and connector ecosystems, orchestration and automation layers, and the identity, logging, and cost controls that surround them.
• Data Foundations for AI: Collaborate closely with our Lead AI Architect on the design and evolution of our Consolidated Data Platforms, architecting the data layer that AI depends on: clean systems of record, well-defined data contracts, retrieval-ready knowledge sources, and permission-aware access so AI tools only see what their users should.
• Agent-Ready Workflows: Design business processes and system integrations so they can be safely executed or assisted by AI agents, with clear human-in-the-loop checkpoints, auditability, and rollback paths.
• AI Governance & Guardrails: Partner with Security and Legal to define the guardrails for enterprise AI use: data classification, acceptable use, vendor and model evaluation, and monitoring. Enable adoption confidently rather than restricting it by default.
• Enablement & Measurement: Support Banyan's AI enablement initiatives by turning successful pilots into reusable patterns and shared infrastructure, and by helping quantify the value AI delivers across HQ functions.

Technology Planning & Lifecycle Management

• Evaluate emerging technologies and vendors, making clear, business-grounded recommendations on adopt, hold, or retire, with AI capability and readiness as a first-class evaluation criterion.
• Lead rationalization of overlapping tools and platforms, quantifying cost, risk, and complexity trade-offs.
• Maintain architectural documentation and system-of-record diagrams that keep leadership and delivery teams aligned.
• Partner with IT, Security, and Finance on capacity, licensing, and total cost of ownership planning, including AI platform consumption and cost management.

Banyan Technology Leadership

• Contribute to Banyan's enterprise-wide technology strategy, working closely with the Head of IT, the Director, Security, and the Lead AI Architect as key partners.
• Translate architecture into business terms: communicate value, risk, and trade-offs clearly to executive stakeholders.
• Promote an architecture-aware, AI-forward culture where teams understand the “why” behind standards and make good decisions by default.
• 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.