DocuSign is seeking a Data + AI Engineer to design and deliver AI-native data solutions and scalable data and AI pipelines, integrating advanced AI tools to provide actionable business insights.

Company: Docusign

Role: AI Engineer

Location: Bengaluru, India | Hybrid

Experience:

8+ years of combined Data Engineering and AI/ML Engineering experience in production environments
8+ years of dimensional and relational data modeling and OLAP data warehousing
8+ years delivering ETL/ELT solutions from databases, SaaS platforms, APIs, flat files, and JSON

Key Skills:

SQL
Snowflake
Python
dbt
Airflow
Fivetran
Hightouch
Claude
Glean
Gemini
Snowflake Cortex
Enterprise copilots
Crew AI
LangGraph
AutoGen
GitHub Copilot
dbt Copilot
AWS (S3, EC2, IAM, Lambda, Step Functions, Glue)
Monte Carlo
Datadog
Matillion
Tableau
Looker
Oracle
SQL Server
MySQL
SQLDBM
Erwin
Jira
Confluence
CI/CD
Agile/Scrum

Qualification:

Bachelor’s Degree in Computer Science, Data Analytics, Information Systems, or a related technical field

Role Focus:

Design and maintain AI-native data solutions and scalable data/AI pipelines for analytics, RAG, fine-tuning, and copilots
Build and operate agentic workflows for complex multi-step business processes
Develop and run LLM-integrated pipelines using advanced AI tools
Define prompt engineering patterns, evaluation methods, and guardrails for production AI applications
Translate business problems into data + AI solutions delivering actionable insights
Design robust data architectures spanning batch, streaming, and AI inference layers
Build Snowflake-based pipelines using Python, dbt, and Airflow
Implement and maintain data ingestion and reverse-ETL using Fivetran and Hightouch
Model data for MDM, Marketing, Finance, and Customer Success domains
Manage AWS infrastructure for data and AI platforms
Enforce data privacy, governance, and compliance including PII controls
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 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

Additional responsibilities:

Champion an AI-first mindset embedding AI into data workflows, internal tools, and business processes
Mentor and coach engineers in AI and data engineering

Nice to have:

Experience with AI productivity and enterprise tools such as GitHub Copilot, dbt Copilot, and other copilots
Deep understanding of GenAI application frameworks and prompt engineering including RAG, semantic search, vector stores, and embedding pipelines
Strong functional experience in MDM, Marketing attribution, Finance (AP/AR, invoicing), or Customer Success (adoption, retention, telemetry)
Experience with data observability platforms such as Great Expectations
Familiarity with data privacy regulations like GDPR and CCPA and implementation of PII masking and role-based access controls
Experience building BI dashboards and data products using Tableau, Looker, or equivalent
Experience with transactional databases such as Oracle, SQL Server, or MySQL
Experience creating ERDs with tools like SQLDBM, Erwin,, or equivalent
Experience using Jira and Confluence in Scrum/Agile teams to manage AI/data delivery
Demonstrated ability to mentor and coach engineers acting as a force multiplier

Other:

Position reports to Manager Data Engineering
Hybrid work model with minimum 2 days per week in-office
DocuSign is committed to equal opportunity, trust, and making the world more agreeable
Focus on building lasting relationships and doing meaningful work
Company culture emphasizes honesty, listening, and doing what is right every day

AI Engineer

Skills Required

Description