As a Lead AI Solutions Delivery Engineer at Docusign, you will solve complex business problems using Docusign's proprietary Agentic capabilities and third-party AI integrations. You will work closely with strategic enterprise customers to deliver tangible business outcomes. This role involves designing bespoke architectures, writing code, and engineering prompts to optimize enterprise agreement lifecycles.

Company: Docusign

Role: Lead AI Solutions Delivery Engineer

Location: United States; Washington, Remote

Experience:

12+ years of experience in software engineering, deployment-focused engineering, or customer-facing technical delivery roles
1.5+ years of experience implementing LLMs, production-grade GenAI applications, autonomous agents, or orchestration frameworks

Key Skills:

Python
Java
C++
systems fundamentals
LLMs
GenAI
autonomous agents
orchestration frameworks
Docusign's IAM Platform
Docusign MCP Server
APIs
OpenAI
Microsoft CoPilot
Claude

Qualification:

Bachelor's or advanced degree in Computer Science, Mathematics, Computer Engineering, Statistics, Operations Research, etc.
or equivalent practical experience

Role Focus:

Design and lead cross-functional customer-facing engagements to develop and deploy modern Agentic vision of Agreement Management business processes
Design, build, and deploy AI-enabled workflows and solutions that integrate Docusign AI capabilities
Execute deployment 'firsts' to prove out, capture, and productionize new Agentic implementation patterns
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

Additional responsibilities:

Memorialize 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
Evaluate human and AI-generated code critically for correctness, quality, security, performance, and compliance

Nice to have:

Prior experience as a forward deployed engineer, customer-facing technical lead, startup CTO, enterprise architect or software engineer with consulting experience
Experience deploying autonomous agents or AI orchestration frameworks within highly regulated environments
Deep understanding of data security, compliance frameworks, and isolated enterprise cloud deployments
Experience designing agent-based or LLM-powered applications beyond simple API calls
Strong communication and customer engagement skills

Other:

Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.
Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan.
Stock: This role is eligible to receive Restricted Stock Units (RSUs).
Global benefits include Paid Time Off, Paid Parental Leave, Full Health Benefits Plans, Retirement Plans, Learning and Development, Compassionate Care Leave

Lead AI Solutions Delivery Engineer

Skills Required

Description