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Senior Software Engineer - Enterprise AI

2 months, 1 week ago
United States
Full-time
Senior
AI Engineer
Software Development
GCP Go OAuth Python SAML
Apply Now
Spotify

Spotify

Spotify is a leading global audio streaming service empowering artists and inspiring fans worldwide with over 70 million tracks. It has 365 million users, including 165 million subscribers, across 178 markets.

Media
Founded 2006
View All Jobs 12

Description

  • Design, build, and operate secure enterprise AI platform capabilities that connect AI models, agents, tools, and internal systems.
  • Own major workstreams for enterprise AI infrastructure, including the MCP gateway and enterprise context capabilities, from design through launch and operation.
  • Build reliable backend services, APIs, and integrations for AI-powered experiences across Spotify’s digital workplace.
  • Develop scalable AI governance approaches covering identity-aware access, permissions, auditing, policy enforcement, and third-party tool risk management.
  • Design, build, test, and evaluate agentic systems and workflows that help employees access information and complete tasks.
  • Take operational ownership of the services and components you build with an emphasis on reliability, security, and maintainability.
  • Partner with engineers and stakeholders across Spotify to identify opportunities and translate AI needs into platform capabilities.
  • Contribute to engineering practices, knowledge sharing, and AI fluency across the organization.

Requirements

  • Strong software engineering fundamentals with experience building, testing, debugging, and operating reliable backend systems.
  • Experience with backend languages such as Python, Go, or similar.
  • Ability to design 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 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 making thoughtful technical tradeoffs independently.
  • Interest in operational ownership and building dependable infrastructure for other teams and employees.
  • 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, is a plus.

Benefits

  • Base salary range of $164,448–$234,926 USD plus equity.
  • Health insurance.
  • Six-month paid parental leave.
  • 401(k) retirement plan.
  • Monthly meal allowance.
  • 23 paid days off.
  • Paid flexible holidays.
  • Paid sick leave.
  • Flexible work-from-home arrangement with some in-person meetings.

Interested in this position?

Apply directly on the company website

Apply Now

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