Sr. Data Engineer AI

Docusign • San Francisco, CA

4h • Hybrid

About The Position

As a member of Docusign’s Global Data Analytics team, the Sr. Data Engineer AI designs, develops, and delivers AI-powered features, and loads, transforms, and prepares datasets for use in the Snowflake Enterprise Data Warehouse. The role includes developing data-analysis features, building AI agents, and helping pioneer an AI agent orchestration layer using technologies such as AWS, Snowflake, dbt, and Airflow. This is an individual-contributor position reporting to the Sr. Manager, Data & Analytics.

The position is hybrid, with a weekly in-office expectation of at least two days per week. The role works with stakeholders to understand requirements and provide AI-driven solutions, and collaborates with a team using Agile Scrum methods. The employee owns, monitors, and improves solutions to meet service-level agreements.

Requirements

• Bachelor’s degree in Computer Science, Data Analytics, Information Systems, or a related field.
• 8+ years of Data or Software Engineering experience.
• 3+ years of experience specifically with agentic orchestration, RAG-based architectures, and LLM implementation.
• Experience developing data pipelines in Python or Java.
• 3+ years of dimensional and relational data modeling experience.
• Experience with SQL and database management.

Nice To Haves

• Hands-on experience with LangChain, LangGraph, CrewAI, and Arize.
• 3+ years of experience with Snowflake, BigQuery, or Redshift.
• 5+ years of experience with AWS, Spark, and data lake environments.
• 5+ years of experience with dbt, Matillion, and Airflow.
• Experience with Claude Code, Cortex, and VSCode Copilot development models.
• Excellent analytical and problem-solving skills, with the ability to work independently or as part of a team.

Responsibilities

• Build and maintain scalable, efficient data pipelines and AI agent orchestrations.
• Develop and deploy autonomous agents using frameworks such as CrewAI and LangChain.
• Implement Retrieval-Augmented Generation (RAG) systems and manage vector databases to improve LLM context and accuracy.
• Use LangGraph or CrewAI for complex, stateful, multi-agent orchestration.
• Implement evaluations, such as Arize, to monitor and improve model performance and reliability.
• Analyze and develop data-quality and validation procedures to ensure trusted data for AI applications.
• Work with stakeholders to understand requirements and provide AI-driven solutions.
• Own, monitor, and improve solutions to ensure SLAs are met.
• Execute projects using Agile Scrum methodologies in a collaborative team environment.

Benefits

• Company bonus plan for non-sales roles, calculated as a percentage of eligible wages and dependent on company performance.
• Eligibility for Restricted Stock Units (RSUs).
• Paid time off and paid company holidays based on region.
• Up to six months of paid parental leave following birth, adoption, or foster care placement.
• Health benefit plans, including options that are 100% employer paid and plans with minimum employee contributions, available from the first day of employment.
• Retirement and pension programs with potential employer contributions.
• Learning and development options, including coaching, online courses, and education reimbursements.
• Paid compassionate care leave following the loss of a loved one and other life-changing events.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior