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Senior Software Engineer - Enterprise AI

Spotify· Engineering – Platform
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New York, NY$164.4k - $234.9kPermanentPosted 2mo ago

About the role

Senior-level role building and operating Spotify’s internal enterprise AI platform, focusing on secure access, governance, integrations, and dependable AI infrastructure to support Spotifiers across the company.

Responsibilities

  • Design, build, and operate secure enterprise AI platform capabilities that connect AI models, agents, tools, and Spotify’s internal systems.
  • Own major workstreams across our enterprise AI infrastructure, including our Model Context Protocol (MCP) gateway and enterprise context capabilities, from technical design through launch and operation.
  • Build reliable backend services, APIs, and integrations that enable AI-powered experiences across Spotify’s digital workplace.
  • Help develop scalable approaches to AI governance, including identity-aware access, permissions, auditing, policy enforcement, and managing risks associated with third-party AI-enabled tools.
  • Design, build, test, and evaluate agentic systems and workflows that help Spotifiers access information and accomplish tasks effectively.
  • Take operational ownership of the services and components you build, balancing speed, reliability, security, and long-term maintainability.
  • Partner with engineers and stakeholders across Spotify to identify opportunities, make thoughtful technical tradeoffs, and turn emerging AI needs into scalable platform capabilities.
  • Contribute to engineering practices, knowledge sharing, and AI fluency as we learn how to operate enterprise AI infrastructure at Spotify scale.

Qualifications

  • Strong software engineering fundamentals with experience building, testing, debugging, and operating reliable backend systems.
  • Experience with backend languages such as Python, Go, or similar and comfortable designing APIs and integrations across complex systems.
  • Understanding of software architecture and how services, APIs, enterprise tools, and user-facing experiences fit together.
  • Experience with identity and authentication concepts and technologies such as OAuth, SAML, or SCIM.
  • Experience working with cloud infrastructure; familiarity with Google Cloud Platform is valuable.
  • Comfort navigating ambiguity, creating clarity, and independently making thoughtful technical tradeoffs.
  • Cares about operational ownership and building dependable infrastructure that other teams and employees can rely on.
  • Enjoys experimentation, iteration, knowledge sharing, and continuous learning in a collaborative engineering environment.
  • Experience with enterprise SaaS or platform engineering, or with LLM integration patterns such as tool use, function calling, agentic workflows, or systems-level prompt engineering.

Skills

Required:Backend programmingAPIs and integrationsIdentity and authentication

Benefits

  • health insurance
  • six-month paid parental leave
  • 401(k) retirement plan
  • monthly meal allowance
  • 23 paid days off
  • paid flexible holidays
  • paid sick leave
Last updated Oct 21, 2026. Interested? Apply on the company site.

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