Senior Enterprise AI Platform Engineer (Remote + Equity)

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

Benefits offered by this job

Health insurance

Six-month parental leave

401(k) retirement plan

Monthly meal allowance

23 paid days off

Paid flexible holidays

Paid sick leave

Job summary

Spotify seeks a Senior Software Engineer for Enterprise AI to design, build, and operate secure backend platform capabilities that connect AI models and internal systems. You will own major workstreams from design through launch and operate reliable services and APIs across the enterprise.

Responsibilities include developing scalable AI governance, identity-aware access, and integration patterns, while collaborating with cross-functional teams to turn needs into scalable platform features.

Qualifications

• Strong backend software engineering fundamentals.
• Experience designing and operating reliable backend services and APIs.
• Familiarity with identity/authentication concepts (OAuth/SAML/SCIM).
• Experience with cloud infrastructure, ideally Google Cloud Platform.

Responsibilities

• Design, build, and operate secure enterprise AI platform capabilities that connect AI models, agents, tools, and internal systems.
• Own major workstreams across enterprise AI infrastructure from design to launch.
• Build scalable backend services, APIs, and integrations for AI-powered experiences.
• Develop approaches to AI governance, including access control, auditing, and policy enforcement.
• Evaluate agentic workflows and systems-level prompt engineering.

Skills

Python

Go

API design

OAuth

SAML

SCIM

GCP

LLM integration

Education

Bachelor’s degree in CS or related field

Job description

Spotify seeks a Senior Software Engineer for Enterprise AI to design, build, and operate secure backend platform capabilities that connect AI models and internal systems. You will own major workstreams from design through launch and operate reliable services and APIs across the enterprise.

Responsibilities include developing scalable AI governance, identity-aware access, and integration patterns, while collaborating with cross-functional teams to turn needs into scalable platform features.