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: 14 hours agoStatus: Live

Job Summary

Lead AI Solutions Delivery Engineer embedded with strategic enterprise customers to design bespoke Agentic architectures, deploy GenAI workflows, and integrate with OpenAI, Claude, MCP APIs. Bridge business and tech, write code and prompts, and drive scalable enterprise agreement lifecycles while collaborating with product/engineering to shape the AI roadmap.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Transportation & Fleet Operations

Seniority: Sr. Manager level

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 and APIs, Web Forms backed by APIs to third-party systems, and third-party agentic platforms
•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 business solutions

Travel: Medium travel

Pay and Benefits

Perks:RsusHealth Insurance

Key Requirements

•12+ years of 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 with Python, Java, C++, or systems fundamentals
•Experience working directly with customers during POCs, architecture reviews, and technical evaluations
•Willingness and ability to travel 25-50% of the time to customer sites as required

Experience:12+ yearsAIEnterprise softwareSaaS

Education:Bachelor's

Skills:CommunicationCustomer engagementCollaborationPresentationProblem-solving

Languages:English

Tech Stack:PythonJavaC++APIsMCP ServerOpenAIMicrosoft CoPilotClaudeDockerKubernetesLLMAIMicroservicesIAM

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

Loading job details...

Preparing the role view and application actions.

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: 14 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Transportation & Fleet Operations

Seniority: Sr. Manager level

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 and APIs, Web Forms backed by APIs to third-party systems, and third-party agentic platforms
•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 business solutions

Travel: Medium travel

Pay and Benefits

Perks:RsusHealth Insurance

Key Requirements

•12+ years of 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 with Python, Java, C++, or systems fundamentals
•Experience working directly with customers during POCs, architecture reviews, and technical evaluations
•Willingness and ability to travel 25-50% of the time to customer sites as required

Experience:12+ yearsAIEnterprise softwareSaaS

Education:Bachelor's

Skills:CommunicationCustomer engagementCollaborationPresentationProblem-solving

Languages:English

Tech Stack:PythonJavaC++APIsMCP ServerOpenAIMicrosoft CoPilotClaudeDockerKubernetesLLMAIMicroservicesIAM

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