Senior Software Engineer - Enterprise AI

Role and team

What you'll do

• Build and operate secure enterprise AI capabilities connecting models, agents, tools, and Spotify systems.
• Own major infrastructure workstreams, including the Model Context Protocol gateway and enterprise context capabilities, through design, launch, and operation.
• Build reliable backend services, APIs, and integrations for AI-powered workplace experiences.
• Develop AI governance for identity-aware access, permissions, auditing, policy enforcement, and risks from third-party AI tools.
• Build and evaluate agentic systems and workflows that help employees access information and accomplish tasks.
• Operate services with attention to speed, reliability, security, and maintainability.
• Work with stakeholders to shape scalable platform capabilities and contribute to engineering practices and knowledge sharing.

Who you are

• Strong software engineering fundamentals and experience building, testing, debugging, and operating reliable backend systems.
• Experience with backend languages such as Python, Go, or similar, and designing APIs and integrations across complex systems.
• Understanding of software architecture across services, APIs, enterprise tools, and user-facing experiences.
• Experience with identity and authentication concepts such as OAuth, SAML, or SCIM.
• Experience with cloud infrastructure; Google Cloud Platform familiarity is valuable.
• Enterprise SaaS or platform engineering, or LLM integrations involving tool use, function calling, agentic workflows, or systems-level prompt engineering, is helpful.

Location and work arrangement

• The role is based in New York and includes some in-person meetings, with flexibility to work from home.

Compensation

• The United States base salary range is $164,448–$234,926 USD, plus equity.

Benefits

• Benefits listed include health insurance, six-month paid parental leave, a 401(k), monthly meal allowance, 23 paid days off, flexible paid holidays, and paid sick leave.