Senior Software Engineer - Enterprise AI

What You'll Do

• 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.

Who You Are

• You have strong software engineering fundamentals and experience building, testing, debugging, and operating reliable backend systems.
• You are experienced with backend languages such as Python, Go, or similar and are comfortable designing APIs and integrations across complex systems.
• You understand software architecture and how services, APIs, enterprise tools, and user-facing experiences fit together.
• You have experience with identity and authentication concepts and technologies such as OAuth, SAML, or SCIM.
• You have experience working with cloud infrastructure; familiarity with Google Cloud Platform is valuable.
• You are comfortable navigating ambiguity, creating clarity, and independently making thoughtful technical tradeoffs.
• You care about operational ownership and building dependable infrastructure that other teams and employees can rely on.
• You enjoy 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, will help you make an impact in this role.

Where You'll Be

• This role is based in New York.
• We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.