Sr. Data Engineer (AI)

Company Overview Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people’s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).

Docusign is seeking a talented and results-oriented Data + AI Engineer to design and deliver AI-native data solutions that provide trusted, actionable insights to the business. As a member of the Global Data Analytics (GDA) team, you will build and operate scalable data and AI pipelines on Snowflake and AWS, orchestrated with dbt, Airflow, Fivetran, and Hightouch, while integrating GenAI tools such as Claude, Glean, Gemini, Snowflake Intelligence, and enterprise copilots into day-to-day engineering workflows. On a typical day, you will develop agentic flows (e.g., Crew AI–style orchestration), ship new data and AI features for domains like MDM, Marketing, Finance, and Customer Success, and transform complex datasets into high-quality, “AI-ready” models that power analytics, telemetry, and decision intelligence. The ideal candidate brings a positive “can-do” attitude, a passion for learning and experimentation with new AI capabilities, and the drive to deliver high-impact solutions in partnership with a world-class team. This position is an individual contributor role reporting to the Manager Data Engineering.

Champion an AI-first mindset, embedding AI into data workflows, internal tools, and business processes Design and maintain AI-native data solutions and scalable data/AI pipelines for analytics, RAG, fine-tuning, and copilots Build and operate agentic workflows (e.g., Crew AI, LangGraph, AutoGen) for complex multi-step business processes Develop and run LLM-integrated pipelines using Claude, Glean, Gemini, Snowflake Cortex and enterprise copilots Define prompt engineering patterns, evaluation methods, and guardrails for production AI applications Translate business problems into data + AI solutions that deliver clear, actionable business insights Design robust data architectures spanning batch, streaming, and AI inference layers. Build Snowflake-based pipelines using Python, dbt, and Airflow for analytics and AI workloads Implement and maintain data ingestion and reverse-ETL using Fivetran and Hightouch. Model data for MDM, Marketing, Finance, and Customer Success (adoption, retention, telemetry) Manage AWS infrastructure (S3, EC2, IAM, Lambda, Step Functions, Glue) for data and AI platforms Enforce data privacy, governance, and compliance, including PII controls in Snowflake and AWS Implement data and AI observability with tools like Monte Carlo and Datadog Optimize SQL models and Python transformations to support feature stores and data products Apply CI/CD, Git, testing, and code review practices to data and AI engineering Partner with stakeholders across functions to gather requirements and design end-to-end data + AI architectures Own and monitor solutions to meet SLAs, SLOs, data freshness, and business KPIs Maintain clear documentation for data platforms, AI systems, and architecture Troubleshoot and resolve data and AI issues, driving root-cause fixes Deliver work using Agile/Scrum, acting as a strong team player and mentor Job Designation Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation) Positions at Docusign are assigned a job designation of either In