Lead AI Solutions Delivery Engineer

DocuSign
Sydney, New South Wales
Workplace: HybridFull timeFunction: Transportation & Fleet OperationsExperience: 12+ yearsSkills: ["Cross-functional collaboration","Communication","Customer engagement","Learning posture","Bias toward action"]

Embed directly with strategic enterprise customers to deliver agentic Agreement Management solutions. Define customer workflows, design bespoke architectures, and write code and prompts that integrate Docusign IAM plus MCP servers, APIs, and third-party AI ecosystems. Build production-grade GenAI/LLM and autonomous-agent implementations, run demos/workshops, travel to customer sites, and partner across product, engineering, success, and partners to shape the long-term AI roadmap.

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FursaFursa
DocuSign
DocuSign
22 hours ago

Lead AI Solutions Delivery Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Embed directly with strategic enterprise customers to deliver agentic Agreement Management solutions. Define customer workflows, design bespoke architectures, and write code and prompts that integrate Docusign IAM plus MCP servers, APIs, and third-party AI ecosystems. Build production-grade GenAI/LLM and autonomous-agent implementations, run demos/workshops, travel to customer sites, and partner across product, engineering, success, and partners to shape the long-term AI roadmap.
Location: Sydney, New South Wales
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 servers/APIs, web forms backed by APIs, custom extractions, and third-party agentic platforms.
  • •Execute deployment “firsts” to prove out and productionize new agentic implementation patterns, repeatable use cases, and toolkits.
  • •Run technical demos, trainings, and workshops for technical and non-technical audiences, and partner with stakeholders to translate business requirements into production-level AI solutions.
  • •Develop robust data pipelines and system architectures, maintain knowledge of LLM/AI implementation patterns, and evaluate code for correctness, quality, security, performance, and compliance.
Travel: High travel

Key Requirements

  • •Basic Bachelor’s or advanced degree in Computer Science, Mathematics, Computer Engineering, Statistics, Operations Research, or equivalent practical experience.
  • •12+ years of software engineering, deployment-focused engineering, or customer-facing technical delivery roles in a technology company.
  • •18–24 months implementing LLMs, production-grade GenAI applications, autonomous agents, and/or orchestration frameworks for production software.
  • •Strong Python, Java, C++ or systems fundamentals.
  • •Experience deploying autonomous agents/AI orchestration in highly regulated environments and knowledge of data security/compliance and isolated enterprise cloud deployments.
Experience:12+ yearsAI focused startupsAI scale-upsLLMGenAIAutonomous agents
Education:
Skills:Cross-functional collaborationCommunicationCustomer engagementLearning postureBias toward action
Languages:En-us
Tech Stack:PythonJavaC++LLMsGenAIAutonomous agentsOrchestration frameworksAPIsDocusign IAM PlatformMCP ServerDocusign Web FormsOpenAIMicrosoft CoPilotClaudeHarveyLegoraContainerized microservicesDistributed system architecturesData pipelinesSystem context management

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
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