AI Enterprise Architect

ABOUT THE ROLE 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 YOU BRING TO PELOTON 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 #LI-DD1 #LI-Remote The base salary range represents the low and high end of the anticipated salary range for this position to be performed remotely from any Peloton office or facility, in any U.S. State and any location therein. The actual base salary offered for this position will depend on numerous factors including, without limitation, experience and business objectives. Our base salary is just one component of Peloton’s competitive total rewards strategy that also includes annual equity awards and an Employee Stock Purchase Plan as well as other region-specific health and welfare benefits. As an organization, one of our top priorities is to maintain the health and wellbeing for our employees and their family. To achieve this goal, we offer robust and comprehensive benefits including: 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! Base Salary Range $172,250 $240,350 USD ABOUT PELOTON: Peloton (NASDAQ: PTON) provides Members with expert instruction, and world class content to create impactful and entertaining workout experiences for anyone, anywhere and at any stage in their fitness journey. At home, outdoors, traveling, or at the gym, Peloton brings together innovative hardware, distinctive software, and exclusive content. Founded in 2012 and headquartered in New York City, Peloton has millions of Members across the US, UK, Canada, Germany, Australia, and Austria. ... (truncated, view full listing at source)