Docusign is looking to define and drive the technical vision for the next generation of autonomous IT operations by architecting, scaling, and operationalizing agentic AI solutions that proactively resolve issues, eliminate operational burden, and strengthen enterprise security.
Requirements
- Proven expertise in agentic AI frameworks, workflow automation, and intelligent IT service management
- Hands-on experience with LLMs, RAG pipelines, and enterprise AI integration
- Experience in one or more scripting/programming languages (e.g., Python, Java) and building production-ready AI solutions
- Eperience embedding security and compliance controls into AI/automation workflows
- Experience with IT operations, incident management, and ticketing systems
- Experience with Agile, DevOps, CI/CD, containerization, and orchestration technologies (e.g., Docker, Kubernetes)
- Experience with multi-agent orchestration and AI/ML frameworks at scale
Responsibilities
- Architect, design, and lead the development of a scalable agentic AI platform using frameworks like Crew AI or Vertex AI to autonomously and proactively remediate end user issues
- Define the architectural patterns and best practices for integrating AI agents with SaaS and IT platforms, establishing a robust foundation for self-healing and auto-remediation
- Champion and enforce security-first principles by designing and mandating security standards for all agentic workflows to protect corporate assets
- Establish the metrics, KPIs, and observability framework to measure agent performance and business impact, driving the strategic expansion of automation
- Serve as the primary technical liaison with EUS Ops, Security, and IT platform owners to define the technical roadmap and identify high-impact automation opportunities
- Own the agentic AI platform strategy, ensuring its scalability, reliability, and secure integration as a core component of the IT ecosystem
- Implement and support the cloud infrastructure required for our agentic AI systems, utilizing services on AWS, GCP etc
Other
- Minimum of 12 years of related experience with a Bachelor's degree; or 8 years of related experience with a Master's degree; or a PhD with 5 years experience; or equivalent experience in AI/ML engineering, IT automation, or agent development
- Experience as a Technical Lead managing large projects involving other AI Engineers and cross-functional partners
- Mentor and guide senior and junior engineers, elevating the team's technical capabilities and fostering a culture of innovation and excellence
- 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)
