Senior AI Integrations & Automation Engineer

Job title: Senior AI Integrations & Automation Engineer

About the Role Cloudinary is building a modern internal business-systems capability inside the MIS function, and this role sits at its center. You will build and operate the AI and automation infrastructure the company runs on and create the apps, agents, and workflows that put it to work. This is an internal-facing, senior individual-contributor role reporting to the VP of MIS.

What You'll Do

• Build and maintain the shared integration and automation infrastructure layer that connects our internal systems and exposes them to AI safely — reusable connectors, reliability, security, and observability.
• Build internal tools, automations, and AI agents on top of it — integrations across enterprise SaaS (Salesforce, NetSuite, Slack, Okta), and LLM-powered workflows for triage, provisioning, document processing, and reporting.
• The right tool for the job: Low-code/iPaaS, custom code, or a hybrid — whatever delivers value fastest and stays maintainable, with responsible-AI practices throughout.

What We're Looking For

• Core experience: 7+ years in integrations, business systems / MIS, or systems engineering within SaaS environments, with senior-level ownership.
• Hands-on experience integrating systems you don’t control — their APIs (REST, GraphQL, webhooks), auth flows, rate limits, and imperfect data.
• Proficiency in Python and/or JavaScript (Node.js/TypeScript).
• Experience with low-code/iPaaS platforms (Workato, Zapier, Make, Tray) and judgment about when to use them vs. custom code.
• Experience with AI-to-system integration standards (e.g., MCP).
• Familiarity with enterprise systems (Okta, Salesforce, NetSuite, Google Workspace) and with IAM/OAuth, API security, and compliance (SOC 2, ISO, GDPR).
• AI & automation: Practical experience building AI-powered workflows, tools, or agents in production.
• Working understanding of LLM systems — orchestration, tool/function calling, RAG — and a clear sense of when AI is and isn’t the right approach.
• Execution & ways of working: Deliver in days and weeks, not months—MVP, iterate, scale; comfortable operating in ambiguity; service mindset toward internal stakeholders; strong communication and documentation.
• Self-driven, proactive, outcome-oriented, and collaborative.

Nice to Have

• Ability to translate business requirements into clear technical definitions and scope.
• Experience building or operating an internal AI/integration platform used by other teams.
• Exposure to event-driven architectures or data pipelines.
• Relevant certifications (Okta, Salesforce, Workato).