Senior AI Engineer

Cloudinary

Cloudinary

Posted on Jun 9, 2026
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Cloudinary is seeking a Senior AI Engineer to drive automation, integrations, and AI enablement across the organization. Reporting to the VP of MIS (CFO Office), this is a high-impact individual contributor role responsible for designing and delivering scalable integrations and AI-powered workflows that improve efficiency and accelerate business execution.

This role combines deep technical expertise with practical AI application (including LLM-based workflows), operating with a strong MVP-first, bias-for-action approach and full ownership from design through production and optimization. It plays a key role in shaping Cloudinary’s modern MIS capabilities and business infrastructure.

Key Responsibilities

    • Design, build, and deploy integrations across enterprise systems
    • Deliver MVP-first AI Infrastructures and iterate based on feedback
    • Implement integrations via iPaaS (Workato, Zapier, Make, Tray), custom APIs (Python, Node.js), or hybrid approaches
    • Own and operate the MCP Gateway as a central AI integration platform
      • Build reusable connectors and expand platform capabilities
      • Ensure reliability, security, scalability (monitoring, retries, auth, rate limiting, versioning)
      • Apply responsible AI practices (governance, auditability, compliance)
      • Ensure system reliability and operational excellence (logging, alerting, runbooks, incident response)
      • Own integrations end-to-end, including documentation and maintainability
      • Support driving automation opportunities across the organization
      • Develop AI-powered workflows and tools (LLMs, agents, RAG, function calling)

        • Scope

        • In scope: automation workflows, MCP Gateway, AI tools, business system integrations, reliability & observability
        • Out of scope: physical IT operations, endpoint support

Requirements

  • 5+ years in integrations / MIS / systems engineering in SaaS environments
  • Strong API experience (REST, GraphQL, webhooks)
  • Proficiency in Python or JavaScript (Node.js / TypeScript)
  • Hands-on experience with iPaaS tools (Workato, Zapier, Make, Tray)
  • Familiarity with enterprise systems (Salesforce, Okta, NetSuite, Google Workspace)
  • Understanding of IAM, OAuth, API security, and compliance (SOC2, ISO, GDPR)
  • Experience building AI-powered workflows or tools
  • Understanding of LLM systems, orchestration, and integrations
  • Familiarity with MCP or similar frameworks (preferred)
  • Proven ability to deliver quickly (MVP → iterate → scale)
  • Strong problem-solving and iterative mindset
  • Comfortable in fast-paced, ambiguous environments
  • Strong communication skills
  • High standards for documentation and maintainability
  • Self-driven, proactive, and outcome-oriented
  • Collaborative and transparent

    • Nice to Have

    • Experience with MCP or API mediation layers
    • Event-driven architectures or data pipelines
    • Relevant certifications (Okta, Salesforce, Workato)
    • AWS Certifications

      • Success Metrics

      • Integration delivery speed and throughput
      • Adoption and impact of automation (time saved, efficiency gains)
      • MCP Gateway reliability and scalability
      • Reduction in operational overhead
      • Stakeholder satisfaction

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