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!

Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements. We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together. Job Summary We are seeking a Senior AI Application Developer to design and deliver enterprise-grade AI applications that address complex business challenges across multiple domains. In this role, you will contribute to our AI Services platform by establishing best practices and reusable components, while focusing on secure, scalable, and compliant enterprise AI solutions. You will collaborate with data scientists, engineers, architects, and business stakeholders to translate cutting-edge AI capabilities into reliable production-ready applications. At Genesys, we are transforming the customer experience landscape with empathy, AI innovation, and global impact. Joining our team means becoming part of a global organization that is redefining how companies engage with their customers. About the Team The Data, Analytics & AI team is a central group bringing together expertise in Data Engineering, Platforms, Analytics, Science, AI, and Governance. We serve the entire enterprise, supporting business-critical systems such as Salesforce, Workday, and others, while partnering across functions including sales, finance, marketing, customer success, and product. This team plays a vital role in enabling data-driven decision making and AI-powered transformation across the organization. Key Responsibilities - Lead the design, development, and deployment of AI-driven applications for enterprise use cases such as customer engagement, workflow automation, and decision support. - Build applications that integrate seamlessly with the AI services platform to ensure reusability and alignment with enterprise standards. - Translate business requirements into scalable AI-enabled solutions, balancing innovation with operational excellence. - Contribute production-ready modules, APIs, and integration patterns to the shared AI services framework. - Partner with platform and architecture teams to ensure scalability, observability, multi-tenancy, and compliance. - Identify and resolve platform gaps surfaced through real-world application needs. - Ensure applications meet enterprise security, compliance, and governance standards, including data privacy, auditability, and responsible AI practices. - Implement robust logging, monitoring, and failover strategies to support high availability. - Advocate for responsible AI practices, including explainability, bias mitigation, and safe model use. - Collaborate with data scientists and ML engineers to operationalize models at scale. - Work closely with enterprise architects to align with IT and business strategies. - Mentor junior developers and provide technical leadership across application development projects. Required Qualifications - Bachelor’s degree in Computer Science, Software Engineering, or related field (Master’s preferred). - 5+ years of enterprise software development experience, including at least 2+ years working with AI/ML applications. - Strong proficiency in Python, Java, and/or JavaScript/TypeScript. - Proven experience deploying AI/ML models into production systems at enterprise scale. - Familiarity with cloud platforms such as AWS, Azure, or GCP, and container orchestration tools like Kubernetes and Docker. - Experience with distributed systems integration patterns including APIs, microservices, and messaging systems. Preferred Qualifications - Experience with LLM-based application frameworks such as LangChain, Semantic Kernel, or Haystack. - Knowledge of MLOps practices including CI/CD pipelines, model monitoring, and feature stores. - Hands-on experience with data governance, compliance frameworks, and enterprise security. - Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG). - Prior experience developing applications for multi-tenant, global-scale environments. Compensation: This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location. This role might also be eligible for a commission or performance-based bonus opportunities. $129,800.00 - $241,200.00 Benefits: - Medical, Dental, and Vision Insurance. - Telehealth coverage - Flexible work schedules and work from home opportunities - Development and career growth opportunities - Open Time Off in addition to 10 paid holidays - 401(k) matching program - Adoption Assistance - Fertility treatments Click here to view a summary overview of our Benefits. If a Genesys employee referred you, please use the link they sent you to apply. About Genesys: Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud™ is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.com. Reasonable Accommodations: If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at reasonable.accommodations@genesys.com. You can expect a response within 24–48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email. This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation—such as application follow-ups or resume submissions—may not receive a response. Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics. Please note that recruiters will never ask for sensitive personal or financial information during the application phase.

• Build custom business applications based on functional briefs with minimal supervision • Develop applications that integrate with SQL Server databases • Translate business requirements into functional and user-friendly interfaces • Maintain and enhance existing internal tools as business needs evolve • Develop solutions using Python, web-based frameworks, and Microsoft Power Apps • Redesign estimating workflows into intuitive, user-friendly interfaces • Build front-end components that connect seamlessly with backend data systems • Research and prototype AI/ML solutions for automation and estimation • Develop or integrate machine learning models using Python • Explore AI-driven solutions such as LLMs or automation agents • Build and maintain Power BI dashboards and reports • Write and optimize SQL queries, stored procedures, and views • Support reporting workflows and ensure data accuracy • Maintain and update SSRS reports as needed • Develop and manage API integrations between systems • Ensure clean and reliable data flow across applications • Build automation workflows using Microsoft Power Automate • Support SharePoint-based integrations and data handling • Independently research solutions to new technical challenges • Propose improvements to tools, systems, and workflows • Stay updated on emerging technologies, especially in AI and development • Document solutions and maintain internal knowledge resources

Role Description You will be instrumental in building an enterprise-grade Agentic Framework designed to automate complex production lifecycles in heavy industries like aerospace and manufacturing. This role is for engineers who thrive in "high-unknown" environments and can move from architecture design to production-grade implementation with minimal oversight. We value candidates who leverage heavy AI code assistance to accelerate delivery without sacrificing quality. Qualifications - Technical Excellence: - Python Mastery: Expert-level Python with experience in FastAPI or Django. - Agentic Frameworks: Proven experience with LangGraph and LangChain for building complex LLM pipelines. - Production-Grade Engineering: Deep understanding of TDD, linters, and ensuring high test coverage within CI/CD processes. - Data Proficiency: Experience in data processing using tools like Pandas, Polars, or PySpark. - API Development: Ability to build scalable backends for real-time interactions, including WebSockets. - Soft Skills & Mindset: - Extreme Ownership: Ability to take a project from business requirements through to implementation with minimal oversight. - Analytical Decision-Making: Ability to justify architectural choices (e.g., Vector DB vs. Corporate Standard) using data-driven Proof of Concepts. - High Velocity: Comfortable working in a small, fast-paced team where rapid delivery is essential. - Defined Execution: Strong commitment to establishing a clear "Definition of Done" for every task. - Nice to have skills: - Familiarity with .NET to align with existing corporate standards and facilitate cross-team integration. - Cloud-Native AI Guardrails: Experience with Azure Content Safety or AWS Bedrock Guardrails to manage model compliance. - Advanced Monitoring: Experience with Arize Phoenix or similar tools for debugging agent behavior and tool-calling efficiency. - LLM Fine-Tuning/Prompting: Knowledge of few-shot learning and structured prompting using XML, JSON, or Markdown. - Enterprise Databases: Familiarity with Azure Cosmos DB, MongoDB, or MSSQL. Responsibilities - Core Platform Development: Responsible for the development of the core agent platform components. - Architecture Transition: Lead the transition from a JavaScript prototype to a segregated Python application with dedicated Management APIs and Agent Execution Backends. - Agent Orchestration: Build and manage complex agent workflows using LangChain and LangGraph to handle multi-step interactions and tool calls. - No-Code & Pro-Code Tooling: Develop a platform that allows administrators to build agents via a "no-code" approach while enabling advanced users to execute custom code scripts. - RAG & Search Optimization: Implement advanced retrieval strategies, including hybrid search and rerankers, while justifying database choices through proof-of-concept metrics. - Guardrails & Compliance: Ensure AI safety by implementing logits masking, context managers, and content guardrails to prevent harmful or off-brand generation. Benefits - Udemy courses of your choice. - Team-buildings, events, marathons & charity activities to connect and recharge. - Workshops, trainings, expert knowledge-sharing that keep you growing. - Clear career path. - Absence days for work-life balance. - Flexible hours & work setup - work from any of listed locations and organize your day your way.