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 As an AI Platform Engineer on the AI Productivity Platforms team, you will own the secure operation, governance, and adoption of Docusign's enterprise AI tools. You will manage platform configuration, identity and access, policy controls, and employee enablement while designing and deploying agentic AI solutions. Partnering with IT, Security, and business teams, you will build secure, compliant, and scalable AI workflows that improve the employee experience and protect enterprise systems and data. Your mission is to bring tools such as Claude, Gemini, Slackbot, and Rovo into a cohesive, trusted platform that empowers every employee to use AI safely and effectively. This position is an individual contributor role reporting to the Senior Manager, Cloud Apps. Responsibility Build, deploy, and enable enterprise AI capabilities using tools such as Claude, Gemini, Antigravity, Atlassian Rovo, and Slack, including SSO, access controls, and integrations with enterprise systems Design and deploy agentic AI solutions using frameworks and platforms such as CrewAI and Vertex AI to autonomously resolve common EUS service requests, incidents, and routine tasks Monitor platform health, usage, and license utilization, and coordinate with vendors to resolve escalated issues Partner with Security and IT to implement data handling, retention, and compliance policies across AI tools and integrations Lead rollouts of new AI tools and features, from initial pilots through company-wide deployment Own employee onboarding, documentation, and self-service guidance to simplify adoption and reduce support requests Develop and deliver training, office hours, and champion programs that help teams apply AI effectively in their daily work Define and maintain the AI platform roadmap for the Employee Productivity Platform, aligning priorities with business needs and employee productivity goals Evaluate emerging enterprise AI tools and agent capabilities, and recommend investments that advance Docusign's AI strategy 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 degree in Computer Science, Engineering, or a related field with 5+ years of relevant experience, or a Master's degree with 3+ years of relevant experience 3+ years of experience in AI/ML engineering, IT automation, or enterprise systems development Experience with agentic AI frameworks, workflow automation, or intelligent IT service management Experience with large language models (LLMs) and integrating retrieval-augmented generation (RAG) pipelines into enterprise solutions Experience with at least one programming or scripting language, such as Python or Java Experience implementing security and compliance controls within AI or automation solutions Experience with IT operations, incident management, and enterprise ticketing systems Experience with Agile methodologies, DevOps practices, and continuous integration and delivery (CI/CD) Experience creating user documentation, supporting onboarding, or delivering technical training Preferred Experience designing, building, and deploying enterprise AI solutions using platforms such as Claude, Gemini, Antigravity, Glean, or Atlassian Rovo Experience developing secure integrations between AI agents and enterprise systems such as Slackbot, Jira, Confluence, and Google Workspace using APIs, permission-aware connectors, and Model Context Protocol (MCP) Hands-on experience developing and evaluating AI agents, enterprise search capabilities, and retrieval-augmented generation (RAG) pipelines, with attention to retrieval quality, data permissions, and governance Experience engineering agent deployment and lifecycle automation, including testing, versioning, observability, token management, and secure service identities Track record of taking AI solutions from proof of concept to production, incorporating user feedback and delivering measurable improvements in employee productivity Experience shaping technical roadmaps, evaluating AI platforms and frameworks, and optimizing solution reliability, performance, scalability, and cost Strong communication skills 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 what’s 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, you’ll be loved by us, our customers, and the world in which we live. Accommodation Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com. If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance. Applicant and Candidate Privacy Notice #LI-Hybrid #LI-BP1 As an AI Platform Engineer on the AI Productivity Platforms team, you will own the secure operation, governance, and adoption of Docusign's enterprise AI tools. You will manage platform configuration, identity and access, policy controls, and employee enablement while designing and deploying agentic AI solutions. Partnering with IT, Security, and business teams, you will build secure, compliant, and scalable AI workflows that improve the employee experience and protect enterprise systems and data. Your mission is to bring tools such as Claude, Gemini, Slackbot, and Rovo into a cohesive, trusted platform that empowers every employee to use AI safely and effectively. This position is an individual contributor role reporting to the Senior Manager, Cloud Apps. Responsibility Build, deploy, and enable enterprise AI capabilities using tools such as Claude, Gemini, Antigravity, Atlassian Rovo, and Slack, including SSO, access controls, and integrations with enterprise systems Design and deploy agentic AI solutions using frameworks and platforms such as CrewAI and Vertex AI to autonomously resolve common EUS service requests, incidents, and routine tasks Monitor platform health, usage, and license utilization, and coordinate with vendors to resolve escalated issues Partner with Security and IT to implement data handling, retention, and compliance policies across AI tools and integrations Lead rollouts of new AI tools and features, from initial pilots through company-wide deployment Own employee onboarding, documentation, and self-service guidance to simplify adoption and reduce support requests Develop and deliver training, office hours, and champion programs that help teams apply AI effectively in their daily work Define and maintain the AI platform roadmap for the Employee Productivity Platform, aligning priorities with business needs and employee productivity goals Evaluate emerging enterprise AI tools and agent capabilities, and recommend investments that advance Docusign's AI strategy Basic Bachelor's degree in Computer Science, Engineering, or a related field with 5+ years of relevant experience, or a Master's degree with 3+ years of relevant experience 3+ years of experience in AI/ML engineering, IT automation, or enterprise systems development Experience with agentic AI frameworks, workflow automation, or intelligent IT service management Experience with large language models (LLMs) and integrating retrieval-augmented generation (RAG) pipelines into enterprise solutions Experience with at least one programming or scripting language, such as Python or Java Experience implementing security and compliance controls within AI or automation solutions Experience with IT operations, incident management, and enterprise ticketing systems Experience with Agile methodologies, DevOps practices, and continuous integration and delivery (CI/CD) Experience creating user documentation, supporting onboarding, or delivering technical training Preferred Experience designing, building, and deploying enterprise AI solutions using platforms such as Claude, Gemini, Antigravity, Glean, or Atlassian Rovo Experience developing secure integrations between AI agents and enterprise systems such as Slackbot, Jira, Confluence, and Google Workspace using APIs, permission-aware connectors, and Model Context Protocol (MCP) Hands-on experience developing and evaluating AI agents, enterprise search capabilities, and retrieval-augmented generation (RAG) pipelines, with attention to retrieval quality, data permissions, and governance Experience engineering agent deployment and lifecycle automation, including testing, versioning, observability, token management, and secure service identities Track record of taking AI solutions from proof of concept to production, incorporating user feedback and delivering measurable improvements in employee productivity Experience shaping technical roadmaps, evaluating AI platforms and frameworks, and optimizing solution reliability, performance, scalability, and cost Strong communication skills
