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About the Role

Peloton is seeking a Staff Enterprise AI Engineer to architect and build the Enterprise AI Platform, enabling safe and scalable AI agent deployment for Product, People, and Operations teams. This role involves laying the technical foundation and guiding engineers to execute the vision, creating a "Golden Path" for secure AI leverage.

Responsibilities

• Architect the "Intelligence & Integration" Layers.
• Design and build a scalable Agentic Orchestration Platform.
• Implement the "Integration Layer" for AI agent connectivity to internal APIs.
• Solve the "State Problem" for AI by architecting memory stores.
• Enforce "Security by Design" by implementing Identity Propagation.
• Build "Data Clean Rooms" and PII masking pipelines.
• Deploy EvalOps pipelines for model testing.
• Define the Engineering Standards, including "Guide vs. Control" standards.
• Create templates and libraries for low-code/assisted coding.
• Perform rigorous code reviews for partner teams and vendors.
• Optimize inference costs through Semantic Caching and routing logic.
• Leverage Kubernetes (EKS) for AI workload compute resources.

Requirements

• 10+ years of software engineering experience.
• 3+ years specifically focused on MLOps, LLM Orchestration, or Large Scale Distributed Systems.
• Deep fluency in Python (production grade).
• Go fluency is preferred for platform services.
• Proven experience deploying RAG (Retrieval Augmented Generation) and Agentic Workflows in production.
• Experience with frameworks like LangChain, Semantic Kernel, or similar.
• Strong background in Kubernetes (EKS), Docker, and Infrastructure-as-Code (Terraform).
• Solid understanding of OAuth 2.0 (OBO flow), RBAC, and zero-trust networking principles.
• Ability to explain complex technical trade-offs to executive stakeholders.

Skills

• Python
• Go
• MLOps
• LLM Orchestration
• Large Scale Distributed Systems
• RAG (Retrieval Augmented Generation)
• Agentic Workflows
• LangChain
• Semantic Kernel
• Kubernetes (EKS)
• Docker
• Infrastructure-as-Code (Terraform)
• OAuth 2.0 (OBO flow)
• RBAC
• Zero-trust networking
• Prompt Engineering
• Semantic Caching
• Vector DBs (Pinecone/Weaviate)
• LangGraph

Location

• New York City

Work Type

• Hybrid

Experience Level

• Staff
• 10+ years of software engineering experience
• 3+ years focused on MLOps, LLM Orchestration, or Large Scale Distributed Systems

Salary/Compensations

• $193,550—$237,750 USD

Benefits

• Annual equity awards
• Employee Stock Purchase Plan
• Medical, dental and vision insurance
• Generous paid time off policy
• Short-term and long-term disability
• Access to mental health services
• 401k
• Tuition reimbursement
• Student loan paydown plans
• Fertility and adoption support
• Up to 18 weeks of paid parental leave
• Child care and family care discounts
• Free access to Peloton Digital App
• Apparel and product discounts
• Commuter benefits
• Citi Bike Discount
• Pet insurance

About the Company

• 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.
• For more information, visit www.onepeloton.com.
• At Peloton, we embrace technology, including AI, to enhance productivity and accelerate innovation in the work we do for our members.

Equal Opportunity

• Peloton is an equal employment opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.
• Equal employment opportunity has been, and will continue to be, a fundamental principle at Peloton, where all team members, applicants, and other covered persons are considered on the basis of their personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran 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 status, domestic violence, sexual violence or stalking victim status, caregiver status, or any other protected characteristic as established by applicable law.
• 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.
• Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance, as applicable to applicants applying for positions in these jurisdictions.