Staff Enterprise AI Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified last checked Jun 13, 2026

Salary

Not verified not verified - source not recorded; timestamp not recorded

401(k) match

Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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Market context

Median wage (BLS OEWS)

$111,944 national median

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

93% above the BLS national median for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Staff Enterprise AI Engineer New York, New York ABOUT THE ROLE Peloton is looking to transform our enterprise tech strategy with AI adoption. We are looking for a Staff Enterprise AI Engineer to serve as the "Founding Engineer" of our Enterprise AI Platform.This is not a traditional Data Science role. You will not spend your days tweaking hyperparameters. Instead, you will architect and build the Operating System that enables our Product, People, and Operations teams to deploy AI Agents safely and at scale. You will act as a "Player/Coach," laying the technical foundation (Infrastructure, Security, Orchestration) while guiding a team of engineers to execute the vision. You will build the "Golden Path" that helps everyone at Peloton to leverage AI securely for the competitive advantage of Peloton. YOUR DAILY IMPACT AT PELOTON - Architect the "Intelligence & Integration" Layers - Design and build a scalable Agentic Orchestration Platform (using LangChain, LangGraph, or custom frameworks) that allows internal developers to spin up autonomous agents. - Implement the "Integration Layer" ensuring all AI agents connect to internal APIs (Workday, Snowflake, SAP) via secure, standardized protocols (Model Context Protocol - MCP). - Solve the "State Problem" for AI, architecting memory stores (Vector DBs like Pinecone/Weaviate) that persist context across user sessions. - Enforce "Security by Design" - Partner with Security leadership to implement Identity Propagation. Ensure agents execute tasks using the user's specific OAuth scopes, preventing privilege escalation. - Build "Data Clean Rooms" and PII masking pipelines to ensure sensitive member or employee

Read the full description at careers.onepeloton.com. FewerJobs shows a source-linked preview and links to the original posting.