Lead AI Solutions Delivery Engineer

DocuSign
Dublin
Workplace: HybridFull timeFunction: Transportation & Fleet OperationsEducation: bachelorsSkills: ["Communication","Customer engagement","Customer discovery","Problem-solving","Learning posture"]

Embed with strategic enterprise customers to deploy Docusign’s agentic Agreement Management capabilities. Define customer workflows, design bespoke architectures, and write code and prompts to deliver production-ready GenAI and LLM-powered solutions. Build integrations using Docusign IAM, MCP servers, APIs, and third-party AI ecosystems (OpenAI, Microsoft Copilot, Claude), while creating data pipelines, microservices, and deployment toolkits. Capture learnings to shape the long-term AI roadmap.

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FursaFursa
DocuSign
DocuSign
1 day ago

Lead AI Solutions Delivery Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 14 minutes agoStatus: Live

Job Summary

Embed with strategic enterprise customers to deploy Docusign’s agentic Agreement Management capabilities. Define customer workflows, design bespoke architectures, and write code and prompts to deliver production-ready GenAI and LLM-powered solutions. Build integrations using Docusign IAM, MCP servers, APIs, and third-party AI ecosystems (OpenAI, Microsoft Copilot, Claude), while creating data pipelines, microservices, and deployment toolkits. Capture learnings to shape the long-term AI roadmap.
Location: Dublin
Workplace: Hybrid
Employment Type: Full time
Job Function: Transportation & Fleet Operations
Seniority: Mid level

Key Responsibilities

  • •Design and lead cross-functional customer-facing engagements to develop and deploy an agentic vision for Agreement Management business processes.
  • •Design, build, and deploy AI-enabled workflows integrating Docusign AI capabilities (MCP Server, APIs, Web Forms, custom extractions) and third-party agentic platform integrations.
  • •Execute deployment “firsts” to productionize new agentic patterns, repeatable use cases, and toolkits, including demos, trainings, and workshops for technical and non-technical audiences.
  • •Develop robust data pipelines, containerized microservices, distributed system architectures, and system context management repositories for reliable autonomous AI operation.
  • •Evaluate human and AI-generated code for correctness, quality, security, performance, and compliance in isolated cloud environments.
Travel: High travel

Key Requirements

  • •Basic Bachelor’s or advanced degree in Computer Science, Mathematics, Computer Engineering, Statistics, Operations Research, etc., or equivalent practical experience.
  • •12+ years in software engineering, deployment-focused engineering, or customer-facing technical delivery roles in technology companies.
  • •18–24 months implementing LLMs, production-grade GenAI applications, autonomous agents, and/or orchestration frameworks for production software.
  • •Experience with customers through POCs, architecture reviews, and technical evaluation.
  • •Experience with Python, Java, C++ and strong communication for translating technical concepts to and from diverse stakeholders.
Experience:GenAI
Education:Bachelor's
Skills:CommunicationCustomer engagementCustomer discoveryProblem-solvingLearning posture
Languages:En-us
Tech Stack:PythonJavaC++LLMsGenAIAutonomous agentsOrchestration frameworksAPIsMCP ServerMicroservicesContainersDocusign Web FormsOpenAIMicrosoft CoPilotClaudeHarveyLegora

Company Brief

DocuSign
Provides a cloud-based electronic signature and intelligent agreement management platform that automates document workflows, identity verification, contract lifecycle management, and agreement analytics for enterprises and individuals worldwide.
Industry: LegalTech
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 2003
Glassdoor
Glassdoor: 3.6
WebsiteLinkedInGlassdoor