# IT Software Architect, SaaS Enablement and Governance

**Company:** [OpenAI](https://hotfix.jobs/companies/openai)
**Location:** San Francisco, CA
**Role:** Solutions Architecture
**Salary:** $230k – $325k/yr
**Experience:** 10+ years
**Skills:** Saas Governance, Enterprise Architecture, Integration Architecture, APIs, Identity And Access Management, SSO, OIDC, SAML, SCIM, RBAC, OAuth, Data Architecture, Software Asset Management, Vendor Management, Gpt
**Posted:** 2026-08-14

> Leads enterprise software, SaaS, integration, identity, data, and agent-enabled architecture across Corporate IT. The role requires 10+ years of enterprise or IT architecture experience and strong expertise in governance, security, vendor strategy, and cross-functional enablement.

## Job Description

## Responsibilities
- Own the target architecture for enterprise software, SaaS, integrations, APIs, and agent-enabled business systems across Corporate IT.
- Drive deprecation and consolidation targets for enterprise software.
- Build lightweight governance patterns that guide teams before software and integration decisions become difficult to change.
- Create architecture standards for identity, access, data movement, API usage, admin rights, auditability, observability, and vendor integration.
- Partner with Security on SSO, SCIM, MFA, privileged access, non-human identities, secrets, token storage, data residency, encryption, retention, and incident-response readiness.
- Partner with Procurement and Finance on renewals, rationalization, enterprise agreements, and build-versus-buy decisions.
- Evaluate agentic business workflows and translate them into scalable enterprise system patterns.
- Review SaaS and internally built tools for overlap, risk, integration quality, ownership, lifecycle, supportability, and long-term fit.
- Develop reusable architecture blueprints for intake, workflow, approvals, knowledge management, customer and partner 360, data integration, reporting, content management, learning, surveys, and collaboration.
- Help define where GPT- or agent-built solutions should replace or enable point SaaS tools.
- Create decision records and architecture artifacts for business leaders, engineers, security reviewers, and procurement partners.
- Improve software catalog maturity by connecting tool inventory with ownership, integration paths, data classification, access models, renewals, risk posture, and support models.

## Core Architecture Domains
- SaaS governance and software catalog maturity
- Enterprise integration architecture, including APIs, event flows, middleware, and system-of-record boundaries
- Identity, access, and administrator model design
- SaaS data architecture across customer, supplier, employee, partner, product, and consumption models
- Agentic workflow architecture and GPT-built replacement patterns
- Vendor architecture reviews and enterprise agreement leverage
- Security, compliance, ITGC, audit evidence, and operational readiness
- Support model design, ownership, SLAs, escalation paths, and lifecycle management

## Requirements
- 10+ years of experience in enterprise architecture, business systems architecture, IT architecture, SaaS governance, integration architecture, or a related technical leadership role.
- Strong understanding of SaaS operating models, software lifecycle management, software asset management, and vendor/platform governance.
- Experience designing integrations across systems and with large-scale SaaS platforms such as CRM, ERP, and marketplace platforms.
- Practical knowledge of identity and access patterns, including SSO, OIDC, SAML, SCIM, RBAC/ABAC, privileged administrator models, service accounts, OAuth applications, and token governance.
- Ability to evaluate software across business value, architecture fit, security posture, data exposure, cost, supportability, user experience, and vendor strategy.
- Ability to operate in ambiguity, build structure where little exists, and influence senior stakeholders without relying solely on formal authority.
- Ability to write architecture decision records, governance standards, system diagrams, business cases, and executive-ready recommendations.
- Strong partnership skills and the ability to help teams move faster while improving decision quality.
- Curiosity about AI-native enterprise architecture and how GPT, Codex, and agentic workflows can replace or enable traditional SaaS patterns.

## Preferred Experience
- Scaling IT or business systems from startup-stage tooling into mature enterprise architecture.
- Software rationalization, SaaS enablement and deprecation, vendor consolidation, or enterprise license optimization.
- Architecting systems in a high-growth environment.
- Governance for internally developed tools, low-code/no-code platforms, agents, or employee-built automation.
- Cross-functional risk and control programs with Security, GRC, Legal, Procurement, and Finance.

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