[Hiring] AI Enterprise Architect @Peloton

Role Description

Reporting directly into the CIO organization, you will be the lead architect and "ace technologist" responsible for the next era of Peloton’s internal evolution: Agentic AI. You will go beyond simple chatbots to build autonomous and semi-autonomous AI agents that execute complex workflows across Finance, Supply Chain, Marketing, Legal, and the People Team. This role is for a hands-on coder who can also set the strategic technical roadmap for enterprise-wide automation.

Your Daily Impact at Peloton

• Architect and code multi-agent systems that can reason, use tools, and execute end-to-end business processes (e.g., automated financial reconciliation, legal contract analysis, or supply chain demand forecasting).
• Partner with leaders in Finance, Marketing, Legal, and HR to translate their complex operational challenges into concrete AI architectures.
• Evaluate the latest agentic frameworks and LLM providers to decide when to leverage third-party tools and when to build proprietary enterprise solutions.
• Design highly available inference services and manage model serving at scale, ensuring these agents integrate seamlessly with existing corporate service meshes.
• Implement "Security by Design," creating automated guardrails for PII/PHI filtering and mitigating prompt injection to ensure enterprise data remains secure.
• Optimize the "Total Cost of Ownership" by managing trade-offs between agent reasoning depth (latency) and compute costs through intelligent caching and specialized routing.

Qualifications

• 8–10+ years in software engineering, with at least 2 years of deep focus on AI/ML infrastructure or data engineering at scale.
• Mastery of Python, Go, or Java/Scala, with a strong grasp of distributed systems and microservices.
• Proven experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex) and deep understanding of vector databases (e.g., Pinecone, Milvus, Weaviate).
• Hands-on experience with modern data stacks (Spark, Kafka, Snowflake, Databricks) and cloud environments (AWS, GCP, or Azure).
• Expert knowledge of Kubernetes, Docker, and CI/CD patterns specifically for machine learning lifecycles.

Requirements

• Base Salary Range: $172,250 — $240,350 USD.

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.
• Child care and family care discounts.
• Free access to Peloton Digital App and apparel and product discounts.
• Commuter benefits and Citi Bike Discount.
• Pet insurance and so much more!