Enterprise It Architect

Crusoe · Data AI · San Francisco, CA - US · IT, Compliance, and Security

This Enterprise IT Architect role focuses on designing and evolving the company's enterprise technology ecosystem, with a strong emphasis on integrating AI capabilities and building AI-powered automation workflows. The role involves architecting SaaS platforms, defining integration patterns, and evaluating emerging AI technologies like AI agents and LLM integrations to accelerate business velocity and maintain a strong security posture.

What you'd actually do

  1. Architecting and governing the enterprise SaaS ecosystem, establishing standards for platform selection, integration patterns, and data flows across business-critical applications
  2. Designing and implementing AI-powered automation workflows using modern integration platforms (e.g., MCP, Workato, Zapier) to eliminate manual processes and accelerate business velocity
  3. Leading complex enterprise integrations across identity (Okta), workplace platforms (Google Workspace), security tooling (SIEM/SOAR), and core business systems (ERP, HRIS, CRM)
  4. Defining and enforcing security architecture standards across SaaS applications, APIs, data governance, and access control aligned to zero-trust principles
  5. Evaluating emerging technologies (AI agents, LLM integrations, intelligent automation platforms) and building proof-of-concepts to demonstrate business value

Skills

Required

  • 7+ years of experience designing and implementing enterprise SaaS architectures in high-growth technology environments
  • Deep expertise in modern integration platforms and methodologies (iPaaS, API gateways, event-driven architectures, webhook frameworks)
  • Proven experience architecting AI/ML integrations and building automation using LLMs, intelligent document processing, or predictive analytics
  • Expert-level knowledge of identity and access management (Okta, Entra ID), including SSO, SCIM provisioning, and zero-trust architectures
  • Extensive experience with Google Workspace Enterprise architecture, including security controls, DLP, context-aware access, and custom integrations
  • Strong background in SaaS security architecture, including data classification, encryption, compliance frameworks (SOC 2, ISO 27001), and threat modeling
  • Demonstrated success building integration frameworks that enable self-service while maintaining governance and security
  • Proficiency with infrastructure-as-code and automation scripting (Python, JavaScript, Terraform, or CloudFormation)
  • Experience with observability platforms (Datadog, Splunk, Elastic) and designing monitoring strategies
  • Experience partnering with DevOps/SRE teams in cloud-native environments
  • Strong communication skills with the ability to translate complex technical concepts for executive stakeholders
  • Track record of driving business transformation through technology with measurable impact on efficiency and scalability

Nice to have

  • Experience architecting AI agent frameworks or implementing Model Context Protocol (MCP) integrations
  • Prior consulting experience with enterprise architecture engagements
  • Background in energy, climate tech, or sustainability-focused organizations
  • Contributions to open-source integration or automation projects
  • Experience scaling IT architecture in hyper-growth environments (e.g., 3x+ headcount growth in 12–18 months)
  • Relevant certifications (e.g., TOGAF, AWS/GCP Solutions Architect, CISSP, Okta Certified)

What the JD emphasized

  • AI-powered automation workflows
  • AI agents
  • LLM integrations
  • architecting AI/ML integrations and building automation using LLMs

Other signals

  • AI-powered automation workflows
  • Evaluating emerging technologies (AI agents, LLM integrations, intelligent automation platforms)
  • architecting AI/ML integrations and building automation using LLMs