Ai Agentic Engineer

Description:

This role is for an AI Agentic Engineer in End User Service Engineering, focused on driving the next wave of IT operations automation at Docusign. You will design, deploy, and monitor agentic AI solutions to proactively resolve EUS operations tickets, reduce operational burden, and integrate self-healing capabilities across IT platforms. This mission-critical role ensures a secure, compliant, and scalable AI-driven environment, directly enhancing the employee experience.

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

Responsibility
 

• Develop and deploy agentic AI solutions that autonomously resolve common EUS operations tickets (service requests, incidents, and routine tasks) using framework like Crew AI or Vertex AI
• Integrate AI agents with SaaS and IT platforms to drive self-healing and auto-remediation capabilities
• Embed security-first principles into every agentic workflow to ensure compliance and protection of corporate assets
• Monitor agent performance, impact, and coverage—driving continuous improvement and expansion of automation
• Partner with EUS Ops, Security, and IT platform owners to identify high-value automation opportunities
• Document agent design, workflows, security considerations, and lifecycle management
• Stay current with GenAI, agent frameworks, and IT automation trends to continuously expand adoption
• Contribute to the broader AI service ownership strategy, ensuring scalability, reliability, and secure integration across the IT ecosystem
   

Job Designation

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.

What you bring

Basic
 

• Bachelor’s degree in Computer Science, Engineering, or related field with 5+ years of experience, OR Master’s degree with 3+ years of experience
• 3+ years of experience in AI/ML engineering, IT automation, or SaaS development
• Experience in agentic AI frameworks, workflow automation, or intelligent IT service management
• Hands-on experience working with LLMs and integrating RAG pipelines into enterprise solutions
• Experience in one or more scripting/programming languages (e.g., Python, Java)
• Experience embedding security and compliance controls into AI or automation solutions
• Experience with IT operations, incident management, and ticketing systems
• Experience with Agile, DevOps, and CI/CD practices
• Experience with containerization and orchestration technologies (e.g. Docker, Kubernetes)