DocuSign

This role focuses on building AI-powered workflows, agents, and tooling to enhance the efficiency and effectiveness of Marketing and Growth teams. The engineer will partner with various teams to turn business goals into automated journeys, experiments, and insights, transforming manual processes into AI-augmented systems and establishing foundational patterns and data for AI adoption.

Senior Machine Learning Engineer to build the 'brain' of Docusign's global services infrastructure, focusing on a self-healing ecosystem using Multi-Agent Systems, Reinforcement Learning, and LLMs for autonomous incident detection, troubleshooting, and resolution. The role involves designing and implementing autonomous remediation systems, developing GenAI agents for root cause analysis, deploying deep learning models for time series data, optimizing inference pipelines, and owning the model lifecycle from feature engineering to production monitoring.

Lead Information Architect responsible for designing the semantic models and knowledge frameworks that transform data into machine-understandable intelligence for Docusign's AI engines, Agentic AI, and search systems. This role involves defining enterprise ontology, taxonomy, and knowledge graph relationships to power AI solutions and establish semantic standards.

This role focuses on managing the partner technology stack and operations, with a significant emphasis on integrating AI and automation into partner workflows. Key responsibilities include defining data models for AI/ML use cases, leveraging AI for insights, and architecting AI-driven support solutions involving LLM embeddings, RAG, and automation pipelines. The role also involves establishing quality control for AI outputs and driving AI performance optimization.

This role focuses on improving data quality and governance within Salesforce, specifically for account hierarchies and contact data. It involves leading a team, defining standards, and deploying AI agents and automation workflows for data cleansing, matching, and enrichment. The goal is to enhance data accuracy, support GTM initiatives like segmentation and forecasting, and enable AI adoption.

Senior Applied Scientist at Docusign, focusing on researching, designing, and deploying innovative AI features and products. The role involves end-to-end ML pipeline development, including data preparation, RAG, agent frameworks, LLMs, prompt engineering, and production monitoring, in collaboration with engineering teams.

Applied AI Software Engineer to join the "Agentic Team" to develop, test, and launch revenue engines using AI and automation. Responsible for taking software from ideation to deployment, developing new solutions, and iterating based on learnings. Will automate using LLMs, Python/JS scripts, APIs, and virtual servers, create agent pipelines, and develop feedback loops for AI Agents. Requires experience with AI Agents, prompt engineering, React, Typescript/Javascript, Python, and public cloud.

This role focuses on designing and advising partners on integrating Docusign's Intelligent Agreement Management (IAM) platform with emerging agentic AI ecosystems. The Principal Partner Solutions Architect will create reference architectures, proof-of-concept solutions, and technical content to enable System Integrator (GSI) partners to build and deliver agreement-native agentic solutions for joint customers. The role involves hands-on advisory work, technical workshops, and staying ahead of AI trends to translate them into practical workflow solutions.

This role focuses on designing and advising partners on integrating Docusign's Intelligent Agreement Management (IAM) platform with emerging agentic AI architectures. The Lead Partner Solution Architect will create reference architectures, proof-of-concept solutions, and technical content to enable partners to build and deliver agreement-native agentic solutions for joint customers, emphasizing human-AI agent collaboration within agreement workflows.

Machine Learning Engineer at DocuSign to build state-of-the-art solutions leveraging text mining, deep learning, and document processing for the DocuSign Agreement Cloud. Responsibilities include research, testing, and evaluation of NLP/ML/DL methods, applying NLP techniques, developing and deploying ML/DL models for NLP tasks, and collaborating with Product Management.