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Sr. AI Engineer

Remote / Online - Candidates ideally in
San Francisco, San Francisco County, California, 94199, USA
Listing for: DocuSign
Part Time, Remote/Work from Home position
Listed on 2026-10-26
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Engineer, DevOps, Cloud Engineer - Software
Job Description & How to Apply Below
Company Overview 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 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 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).What you'll do Docusign has a dedicated Intelligent Automation Center of Excellence (CoE) that delivers enterprise-grade AI and automation solutions using platforms such as AWS, GEAP, UiPath, CREW AI, Microsoft Power Automate, and Azure AI/Document Intelligence.

As a Senior Intelligent Automation Engineer, you will be a key contributor in scaling Docusign's enterprise-wide Intelligent Automation capabilities. You will work at the intersection of business, engineering, and AI to design, build, and operate resilient Agentic and automation solutions that drive measurable business outcomes with the mix of development and support work.

This position is an individual contributor role reporting to Principal Engineering Manager, Application Engineering.

Responsibility Partner with cross-functional teams (business stakeholders, product managers, enterprise architects, security) to define automation roadmaps and source use cases

Architect end-to-end automation solutions across the software development lifecycle (SDLC), from requirements gathering to coding to deployment and support

Review technical designs, estimates, and solution feasibility

Provide hands-on coding/ technical support during US PDT hours including month end and quarter ends Maintain and evolve the automation platform roadmap in partnership with business stakeholders and delivery partners

Oversee Intelligent Automation platform performance, solution maintenance, and reporting hubs

Own design principles, architecture standards, and coding best practices for the AWS, Slack, GEAP, UiPath/Power Automate platform

Manage technical infrastructure setup for new capabilities in Agentic and UiPath Platform Set up monitoring and alert mechanisms

Ensure compliance with enterprise security, architecture, and governance standards

Ensure long-term stability and effectiveness of automation solutions

Enforce coding standards, security practices, and compliance requirements

Manage multiple priorities in a fast-paced environment seamlessly

Manage Quarterly and yearly Internal/External Audit, ITGC, User Access review tasks

Explore and integrate hyperautomation technologies including AI/ML, intelligent document processing, and process mining

Lead proof-of-concepts for new automation capabilities and platforms

Communicate technical findings and solution recommendations effectively using presentations and visualizations

Stay ahead of industry trends and continuously upskill through certifications and training

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 position's job designation depending on business needs and as permitted by local law.

What you bring

Basic

Bachelor's or Master's degree in Engineering, Computer Science, or related field

Relevant certifications in Agentic platforms (Langraph/Crew AI), Python, AI/ML, or cloud technologies8+ years of experience in Intelligent Automation technologies, with hands-on coding and application development

Experience with Agentic AI, Agentic Orchestrator, Claud AI, Python scripting, SQL, VB Scripting, OCR implementation, AI/ML, RAG, and Azure intelligent document processing

Experience with Jira, Confluence, Git Hub/ other version control tools

Experience with integrating applications via web services / REST APIs and infrastructure models like MCP servers

Experience with software design principles and application architecture

Experience with the impact of data and digital technologies on business…
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