Lead AI Solutions Delivery Engineer

Company Overview

Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in more than 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 Docusign’s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e‑signature and contract lifecycle management (CLM).

As a Lead AI Solutions Delivery Engineer, you will be on the front lines, embedded directly with strategic enterprise customers to solve complex business problems using Docusign’s proprietary Agentic capabilities, third‑party AI integrations, and existing tech stacks. You will bridge the gap between business and technology, defining customer workflows, designing bespoke architectures, writing code, and engineering prompts to deliver tangible business outcomes.

You will leverage Docusign’s IAM Platform, Docusign and third‑party MCP servers, APIs, and third‑party integrations with leading AI ecosystems (like OpenAI, Microsoft CoPilot, and Claude) to optimize enterprise agreement life cycles against contract populations exceeding millions of agreements. By capturing insights from these field deployments, you will collaborate cross‑functionally with Docusign’s product and engineering teams to shape our long‑term AI roadmap.

This role is a perfect fit if you thrive in client‑facing environments and have a proven track record deploying GenAI and LLMs in production.

This position is an individual contributor role reporting to the Sr. Director, Value Delivery Realization.

• Design and lead cross‑functional customer‑facing engagements to develop and deploy a modern Agentic vision of Agreement Management business processes
• Design, build, and deploy AI‑enabled workflows and solutions that integrate Docusign AI capabilities including Docusign’s MCP Server and APIs, Docusign Web Forms backed by APIs to third‑party systems, Custom Extractions, and Docusign’s integration with OpenAI, Claude Cowork, Microsoft CoPilot, Harvey and Legora and other customer Agentic Tech stacks to automate and optimize business processes
• Execute deployment 'firsts' to prove out, capture, and product ionize new Agentic implementation patterns, repeatable use cases and toolkits
• Run technical demos, trainings, and workshops for technical and non‑technical audiences
• Partner directly with customer stakeholders, Docusign product, engineering, success, services and partner team members and third‑party system integrators to translate open‑ended operational business requirements into production‑level AI‑enabled business solutions
• Document repeatable deployment strategies and contribute insights and learnings back to Docusign product and engineering teams
• Develop robust data pipelines, containerized microservices, distributed system architectures, and system context‑management repositories to ensure autonomous AI tools operate accurately and reliably
• Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks
• Synthesize field learnings, establish repeatable configuration scripts and deployment patterns, and develop cross‑functional data‑based recommendations to establish and deliver product consulting toolkits for enterprise‑deployable implementation guides
• Partner with our Partner Enablement and larger partner organization to equip the partner ecosystem to implement well‑architected solutions by contributing repeatable deployment best practices and blueprints
• Evaluate human and AI‑generated code critically for correctness, quality, security, performance, and compliance within isolated cloud environments

Employee is not required to be in or near an office frequently and works from a designated remote work location for the majority of the time.

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