Peloton Technology

Peloton Technology

Staff Enterprise AI Engineer

New York, New York · Staff+

Sponsorship not specified$194k-$238kDetected 60 days ago
PythonCode ReviewSnowflakeVector DatabasesDockerKubernetesTerraformPlatform EngineeringOAuthMachine LearningData ScienceLLMsRAGAgentic AIMLOpsLangGraphAI OrchestrationComplianceSAPHRISCompensationZero TrustHIPAALeadership

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.

Responsibilities

  • 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 build the "Golden Path" that helps everyone at Peloton to leverage AI securely for the competitive advantage of Peloton.
  • Implement the "Integration Layer" ensuring all AI agents connect to internal APIs (Workday, Snowflake, SAP) via secure, standardized protocols (Model Context Protocol
  • 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 data is never leaked to model providers.
  • Implement the "Integration Layer" ensuring all AI agents connect to internal APIs (Workday, Snowflake, SAP) via secure, standardized protocols (Model Context Protocol - MCP).

Requirements

  • Proven experience deploying RAG (Retrieval Augmented Generation) and Agentic Workflows in production.
  • Experience with frameworks like LangChain, Semantic Kernel, or similar.

Nice to have

  • Deep fluency in Python (production grade) and Go (preferred for platform services).
  • The Stack: Deep fluency in Python (production grade) and Go (preferred for platform services).

Skills

  • Background in FinOps (managing GPU/Cloud spend).

Compensation

  • $193,550 - $237,750 USD
  • This policy of equal employment opportunity applies to all practices and procedures relating to recruitment and hiring, compensation, benefits, termination, and all other terms and conditions of employment.

Benefits

  • Medical, dental and vision insurance
  • Generous paid time off policy
  • Short-term and long-term disability
  • Access to mental health services
  • 401k, tuition reimbursement and student loan paydown plans
  • Employee Stock Purchase Plan
  • Fertility and adoption support and up to 18 weeks of paid parental leave

Equal opportunity

  • Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.

Visa & Work Authorization

  • eran status, sexual orientation, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial s
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This listing is sourced directly from Peloton Technology's careers page and normalized into a canonical job model.