Senior AI Engineer at Docusign is responsible for designing and implementing production-grade AI systems at the intersection of AI/ML, distributed systems, and enterprise platforms. You will architect, prototype, and productionize AI capabilities across CRM, CPQ, Billing, and Revenue workflows, partnering with Product, Sales Ops, RevOps, Finance, and Engineering. This is a hands-on, individual contributor role reporting to the Director of Engineering. Responsibilities include building agentic workflows, Retrieval-Augmented Generation (RAG), embeddings and vector-search architectures, tool-calling and orchestration patterns; creating AI services that securely integrate with enterprise systems of record (CRM, CPQ, Billing); leading end-to-end AI solution delivery from prototype to scalable production; setting architectural standards for AI reliability, latency, observability, and cost efficiency; applying AI to core revenue workflows such as quote configuration and pricing recommendations, discounting and approval automation, contract intelligence and renewal forecasting and billing anomaly detection; understanding lead-to-cash processes and translating business requirements into technical designs; ensuring outputs are accurate, explainable, and trusted; acting as a Staff-level technical owner and mentoring senior engineers; establishing best practices for data access, governance, model evaluation and guardrails, security, privacy (PII, SOC, GDPR); collaborating with Product, Architecture, Security, Legal, and Data teams; serving as a technical advisor to leadership on AI str

Senior AI Engineer at Docusign is responsible for designing and implementing production-grade AI systems at the intersection of AI/ML, distributed systems, and enterprise platforms. You will architect, prototype, and productionize AI capabilities across CRM, CPQ, Billing, and Revenue workflows, partnering with Product, Sales Ops, RevOps, Finance, and Engineering. This is a hands-on, individual contributor role reporting to the Director of Engineering. Responsibilities include building agentic workflows, Retrieval-Augmented Generation (RAG), embeddings and vector-search architectures, tool-calling and orchestration patterns; creating AI services that securely integrate with enterprise systems of record (CRM, CPQ, Billing); leading end-to-end AI solution delivery from prototype to scalable production; setting architectural standards for AI reliability, latency, observability, and cost efficiency; applying AI to core revenue workflows such as quote configuration and pricing recommendations, discounting and approval automation, contract intelligence and renewal forecasting and billing anomaly detection; understanding lead-to-cash processes and translating business requirements into technical designs; ensuring outputs are accurate, explainable, and trusted; acting as a Staff-level technical owner and mentoring senior engineers; establishing best practices for data access, governance, model evaluation and guardrails, security, privacy (PII, SOC, GDPR); collaborating with Product, Architecture, Security, Legal, and Data teams; serving as a technical advisor to leadership on AI str