Senior Enterprise AI Platform Engineer (Remote)

Spotify AB; New York (NY); Hybrid; USD 164,000 - 235,000; Full time

Benefits offered by this job

health insurance

six-month paid parental leave

401(k) retirement plan

monthly meal allowance

23 paid days off

Job summary

Spotify AB seeks a Senior Machine Learning Engineer, Personalization, Muse to design, build, and operate enterprise AI platform capabilities that connect AI models, tools, and Spotify’s internal systems. You will own major workstreams across our enterprise AI infrastructure, including MCP gateway and governance, from design through launch and operation.

You will build reliable backend services and APIs for AI-powered experiences, contribute to governance and security, and collaborate with

Qualifications

• 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 comfortable designing APIs and integrations across complex systems.
• Understand software architecture and how services, APIs, enterprise tools, and user-facing experiences fit together.
• 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.
• Comfort navigating ambiguity, creating clarity, and independently making thoughtful technical tradeoffs.
• Care about operational ownership and building dependable infrastructure that other teams can rely on.
• 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.

Responsibilities

• 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 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.
• Help develop scalable approaches to AI governance, including identity-aware access, auditing, policy enforcement, and managing risks with third-party AI tools.
• Design, build, test, and evaluate agentic systems and workflows to help Spotifiers access information and accomplish tasks effectively.
• Take operational ownership of the services and components you build; balance speed, reliability, security, and maintainability.
• Partner with engineers and stakeholders across Spotify to identify opportunities and turn emerging AI needs into scalable platform capabilities.
• Contribute to engineering practices, knowledge sharing, and AI fluency as we learn to operate enterprise AI infrastructure at Spotify scale.

Skills

Python

Go

API design

Identity protocols

Cloud infrastructure

Ambiguity navigation

Operational ownership

LLM integration patterns

Job description

Spotify AB seeks a Senior Machine Learning Engineer, Personalization, Muse to design, build, and operate enterprise AI platform capabilities that connect AI models, tools, and Spotify’s internal systems. You will own major workstreams across our enterprise AI infrastructure, including MCP gateway and governance, from design through launch and operation.

You will build reliable backend services and APIs for AI-powered experiences, contribute to governance and security, and collaborate with