DocuSign

1 month ago

Lead AI Solutions Delivery Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Lead AI Solutions Delivery Engineer embedded with strategic enterprise customers to solve complex business problems using Docusign’s Agentic capabilities, third-party AI integrations, and existing tech stacks. You will define customer workflows, design bespoke architectures, write code, and engineer prompts to deliver tangible business outcomes, leveraging OpenAI, Claude, and Microsoft CoPilot to optimize enterprise agreement lifecycles at scale.

Location: Washington

Workplace: Remote

Employment Type: Full time

Job Function: Transportation & Fleet Operations

Key Responsibilities

•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 MCP Server, APIs, Web Forms, and third-party agentic platforms to automate and optimize customer business processes
•Execute deployment firsts to prove out, capture, and productionize 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, product, engineering, success, services, and partner teams to translate open-ended operational requirements into production-level AI-enabled solutions

Travel: Medium travel

Pay and Benefits

Salary: USD 158,300 - 232,575 annually

Equity and Bonus:Equity

Key Requirements

•12+ years of experience in software engineering, deployment-focused engineering, or customer-facing technical delivery roles in an established technology company, including AI-focused startups or scale-ups
•1.5+ years of experience implementing LLMs, production-grade GenAI applications, autonomous agents, or orchestration frameworks for production-level software
•Experience working directly with customers during POCs, architecture reviews, and technical evaluations
•Experience with Python, Java, C++, or systems fundamentals
•Willingness and ability to travel 25-50% of the time to customer sites as required

Experience:12+ yearsAIEnterprise software

Education:Bachelor's

Skills:PythonJavaC++APIsLLMsGenAIOpenAIClaudeMicrosoft CoPilot

Languages:English

Tech Stack:PythonJavaC++APIsOpenAIClaudeMicrosoft CoPilotLLMsMCP Server

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

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: 3.6

Website LinkedIn Glassdoor

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DocuSign

1 month ago

Lead AI Solutions Delivery Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Washington

Workplace: Remote

Employment Type: Full time

Job Function: Transportation & Fleet Operations

Key Responsibilities

•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 MCP Server, APIs, Web Forms, and third-party agentic platforms to automate and optimize customer business processes
•Execute deployment firsts to prove out, capture, and productionize 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, product, engineering, success, services, and partner teams to translate open-ended operational requirements into production-level AI-enabled solutions

Travel: Medium travel

Pay and Benefits

Salary: USD 158,300 - 232,575 annually

Equity and Bonus:Equity

Key Requirements

•12+ years of experience in software engineering, deployment-focused engineering, or customer-facing technical delivery roles in an established technology company, including AI-focused startups or scale-ups
•1.5+ years of experience implementing LLMs, production-grade GenAI applications, autonomous agents, or orchestration frameworks for production-level software
•Experience working directly with customers during POCs, architecture reviews, and technical evaluations
•Experience with Python, Java, C++, or systems fundamentals
•Willingness and ability to travel 25-50% of the time to customer sites as required

Experience:12+ yearsAIEnterprise software

Education:Bachelor's

Skills:PythonJavaC++APIsLLMsGenAIOpenAIClaudeMicrosoft CoPilot

Languages:English

Tech Stack:PythonJavaC++APIsOpenAIClaudeMicrosoft CoPilotLLMsMCP Server

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

DocuSign

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: 3.6

Website LinkedIn Glassdoor