Senior Software Engineer - Enterprise AI
New
S
SpotifyEnterprise AI
Workplace type: Remote; This role is based in New York.Full-TimeSenior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Required Skills
- PythonGCPOAuthGo
Requirements
- Have strong software engineering fundamentals and experience building, testing, debugging, and operating reliable backend systems.
- Have experience with backend languages such as Python, Go, or similar.
- Be comfortable designing APIs and integrations across complex systems.
- Understand software architecture and how services, APIs, enterprise tools, and user-facing experiences fit together.
- Have experience with identity and authentication concepts and technologies such as OAuth, SAML, or SCIM.
- Have experience working with cloud infrastructure; Google Cloud Platform familiarity is valuable.
- Be comfortable navigating ambiguity, creating clarity, and making thoughtful technical tradeoffs independently.
- Have an interest in operational ownership and dependable infrastructure.
- 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 helpful.
Responsibilities
- Design, build, and operate secure enterprise AI platform capabilities connecting AI models, agents, tools, and Spotify’s internal systems.
- Own workstreams across enterprise AI infrastructure, including the Model Context Protocol (MCP) gateway and enterprise context capabilities, from technical 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 for identity-aware access, permissions, auditing, policy enforcement, and third-party AI-enabled tool risks.
- Design, build, test, and evaluate agentic systems and workflows that help Spotifiers access information and accomplish tasks.
- Take operational ownership of services and components, balancing speed, reliability, security, and maintainability.
- Partner with engineers and stakeholders across Spotify to identify opportunities, make technical tradeoffs, and develop scalable platform capabilities.
- Contribute to engineering practices, knowledge sharing, and AI fluency.
View Full Description & ApplyYou'll be redirected to the employer's site
