Staff Enterprise AI Engineer
Core
Architect and build the Operating System for Peloton's Enterprise AI Platform, enabling internal teams to deploy AI Agents safely and at scale.
Role type
Staff Enterprise AI Engineer (Founding Engineer)
Builds
Scalable Agentic Orchestration Platform, Integration Layer, Memory Stores, EvalOps pipelines, and Engineering Standards for AI.
Domain
Enterprise AI, Distributed Systems, MLOps, LLM Orchestration
Deliverable
production ML models
Required skills
Python (production grade), Go, Kubernetes (EKS), Docker, Terraform, OAuth 2.0, RBAC, Vector DBs, LangChain, Semantic Kernel, RAG, Agentic Workflows, Zero-trust networking, Low-latency system design, Cost optimization, Mentoring
Preferred skills
Model Context Protocol (MCP), FinOps, HIPAA/SOX compliance
Technologies
LangChain, LangGraph, Pinecone, Weaviate, Kubernetes, EKS, Docker, Terraform, OAuth 2.0, MCP
Responsibilities
Architect Intelligence & Integration Layers; Design and build scalable Agentic Orchestration Platform; Implement Integration Layer for secure API connections; Solve State Problem by architecting memory stores; Enforce Security by Design and Identity Propagation; Build Data Clean Rooms and PII masking pipelines; Deploy EvalOps pipelines for model testing; Define Engineering Standards and Guardrails; Perform rigorous code reviews; Optimize inference costs via Semantic Caching; Manage ephemeral compute resources on Kubernetes.
Seniority
Staff, hands-on IC with mentorship
