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)
- Hands‑on experience with iPaaS tools (Workato, Zapier, Make, Tray)
- Familiarity with enterprise systems (Salesforce, Okta, Net Suite, 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)
- Strong problem‑solving and iterative mindset
- 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
- 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

#J-18808-Ljbffr

📌 Senior Ai Engineer (Perú)
🏢 Cloudinary
📍 Perú