Lead AI Platform Engineer

Company Overview

Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 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 the Lead AI Agentic Engineer on the End User Engineering team, you will define and drive the technical vision for the next generation of autonomous IT operations. You will architect, scale, and operationalize agentic AI solutions that proactively resolve issues, eliminate operational burden, and strengthen enterprise security.

As the technical Subject Matter Expert (SME) and owner of the technical roadmap, you will lead the design and implementation of a scalable, production‑grade Agentic Platform. This role requires collaboration across IT, security, and business teams. You will lead the Software Development Lifecycle (SDLC) for AI workflows and agents, focusing on developing secure, compliant, and scalable AI‑driven solutions that enhance the employee experience and protect our IT environment.

This position is an individual contributor role reporting to the Sr. Director, End User Engineering.

• Lead the architecture and development of a highly scalable, agentic AI platform using frameworks like Crew AI or Vertex AI
• Design and implement autonomous multi‑agent systems with advanced control flows to perform safe, automated remediation of end‑user issues within our infrastructure
• Drive software engineering excellence by mandating code reviews, unit testing, and CI/CD pipelines
• Design and deploy secure, low‑latency APIs that allow AI agents to interface programmatically with our SaaS applications
• Champion and enforce security‑first principles by designing and mandating security standards for all agentic workflows to protect corporate assets
• Own the lifecycle of your agents—from continuous improvement to training, deployment, and monitoring
• Mentor and guide senior and junior engineers, elevating the team's technical capabilities and fostering a culture of innovation and excellence
• Own the agentic AI platform strategy, ensuring its scalability, reliability, and secure integration as a core component of the IT ecosystem
• Evangelize and educate stakeholders on the capabilities and value of agentic AI, driving adoption and influencing cross‑functional roadmaps

Hybrid:
Employee divides their time between in‑office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in‑office expectation)

Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.

• 12+ years of related experience with a Bachelor's degree; or 8+ years with a Master's degree in Computer Science or Software Engineering
• Experienced in Software Engineering Fundamentals:
  Proficiency in object‑oriented design, data structures, and algorithms using Python, Go, or C++
• Experience as a Technical Lead managing large projects involving other AI Engineers and cross‑functional partners
• Proven expertise in agentic AI frameworks, workflow automation, and intelligent IT service management
• Experience building and deploying applications using LLMs (RAG pipelines, Vector Databases, Lang Chain) specifically for technical domains (code analysis, log parsing)
• Demonstrated experience embedding security and compliance controls into AI/automation workflows
• Understanding of IT operations, incident…