Hiring: Senior Software Engineer - Enterprise AI Company: Spotify Location: New York, NY Job Posted Time: 2026-09-09 17:56:38 Employment Type: Full-time Target Skills & Keywords: Enterprise AI, AI Platform, Model Context Protocol (MCP), AI Governance, Agentic Systems, Backend Engineering, APIs, Integrations, Identity & Authentication (OAuth, SAML, SCIM), Cloud Infrastructure, Google Cloud Platform, LLM Integration, Tool Use, Function Calling, Prompt Engineering, Platform Engineering, Enterprise SaaS Experience: - Strong software engineering fundamentals with experience building, testing, debugging, and operating reliable backend systems - Experience with backend languages such as Python, Go, or similar - Experience designing APIs and integrations across complex systems - 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 - 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 Required Skills: - Design, build, and operate secure enterprise AI platform capabilities connecting AI models, agents, tools, and internal systems - Own major workstreams across enterprise AI infrastructure, including the Model Context Protocol (MCP) gateway and enterprise context capabilities - Build reliable backend services, APIs, and integrations enabling AI-powered experiences - Develop scalable approaches to AI governance, including identity-aware access, permissions, auditing, policy enforcement, and risk management for third-party AI-enabled tools - Design, build, test, and evaluate agentic systems and workflows - Take operational ownership of services and components, balancing speed, reliability, security, and long-term maintainability - Partner with engineers and stakeholders to identify opportunities and turn emerging AI needs into scalable platform capabilities - Contribute to engineering practices, knowledge sharing, and AI fluency - Strong understanding of software architecture and how services, APIs, enterprise tools, and user-facing experiences fit together - Comfortable navigating ambiguity, creating clarity, and independently making thoughtful technical tradeoffs - Enjoy experimentation, iteration, knowledge sharing, and continuous learning in a collaborative engineering environment Qualifications: - Strong software engineering fundamentals - Experienced with backend languages such as Python, Go, or similar - Understanding of software architecture - Experience with identity and authentication technologies (OAuth, SAML, SCIM) - Experience with cloud infrastructure; GCP familiarity valuable - Comfortable navigating ambiguity and making independent technical tradeoffs - Care about operational ownership and building dependable infrastructure - Enjoy experimentation, iteration, knowledge sharing, and continuous learning - Experience with enterprise SaaS or platform engineering, or LLM integration patterns (tool use, function calling, agentic workflows, systems-level prompt engineering) is a plus Compensation: - United States base range: $164,448–$234,926 USD, plus equity - Benefits include health insurance, six-month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, paid flexible holidays, and paid sick leave - Ranges may be modified in the future Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!