Sr. Data Engineer AI
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+23 more
Job description
As a member of the Global Data Analytics (GDA) team, you will leverage a variety of technologies to design, develop, and deliver AI-powered features in addition to loading, transforming, and preparing data sets of all shapes and sizes. During a typical day, you will develop new features to analyze data, build AI agents, and load tested data sets into the Snowflake Enterprise Data Warehouse. You will have the opportunity to use innovative technologies such as AWS, Snowflake, dbt, and Airflow while pioneering our AI agent orchestration layer. We are looking for a candidate with a positive βcan doβ attitude, a passion for learning, and the drive to work hard in a fast-paced environment.
This position is an individual contributor role reporting to the Sr. Manager, Data & Analytics.
Responsibility
- Build and maintain scalable, efficient data pipelines and AI agent orchestrations
- Develop and deploy autonomous agents using frameworks like CrewAI and LangChain
- Implement Retrieval-Augmented Generation (RAG) systems and manage Vector Databases to enhance LLM context and accuracy
- Utilize Langgraph/CrewAI for complex stateful multi-agent orchestration
- Implement robust Evaluations (e.g., 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
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 Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a positionβs job designation depending on business needs and as permitted by local law. What you bring
Requirements
- Bachelorβs Degree in Computer Science, Data Analytics, Information Systems, or a related field
- 8+ years of Data/Software Engineering experience
- 3+ years of experience specifically within 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
Preferred
- Hands-on experience with LangChain, Langgraph, CrewAI, and Arize
- 3+ years in Snowflake, BigQuery, or Redshift
- 5+ years with AWS, Spark, and Data Lake environments
- 5+ years 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
Benefits & conditions
California: $146,400.00 - $235,375.00 base salary
This role is also eligible for the following:
- Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.
- Stock: This role is eligible to receive Restricted Stock Units (RSUs).
Global benefits provide options for the following:
- Paid Time Off: earned time off, as well as paid company holidays based on region
- Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement
- Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment
- Retirement Plans: select retirement and pension programs with potential for employer contributions
- Learning and Development: options for coaching, online courses and education reimbursements
- Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events
Life at Docusign
Working here
Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do whatβs right, every day. At Docusign, everything is equal.
We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, youβll be loved by us, our customers, and the world in which we live.
About the company
Docusign brings agreements to life. More than 1.8 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify peopleβs 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 the Docusign AI-native IAM platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Loading talks and stories from around this roleβ¦