Senior AI Engineer

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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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.