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Docusign

Runs electronic signing and agreement workflows

AI Platform Engineer

AI Application EngineeringUpdated on Nov 13
Full-timeDublin, IrelandNo salary listed

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, or a related field with at least 5 years of relevant experience, or a master's degree with at least 3 years of relevant experience.
  • At least 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 and integrating retrieval-augmented generation 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.
  • Experience creating user documentation, supporting onboarding, or delivering technical training.

Responsibilities

  • Build, deploy, and enable enterprise AI capabilities using tools such as Claude, Gemini, Antigravity, Atlassian Rovo, and Slack, including single sign-on, 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 end-user support 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.

Desired Qualifications

  • 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.
  • Hands-on experience developing and evaluating AI agents, enterprise search capabilities, and retrieval-augmented generation 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.

About the Company

Docusign

Runs electronic signing and agreement workflows

Docusign runs electronic signing and agreement management software for businesses, letting people approve contracts online and track the steps around each agreement. Its eSignature product routes documents to signers and records who signed, while contract lifecycle tools organize preparation, negotiation, and approvals. The Intelligent Agreement Management platform stores contracts in a searchable repository and uses AI to extract terms and connect agreement data to business workflows. Customers use its web applications or embed signing through APIs, and pay for subscriptions based on users, features, and document allowances. Docusign was founded in 2003 and is headquartered in San Francisco.

Company size
5,001-10,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2003

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