AI Agentic 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). What you'll do As an AI Agentic Engineer on the Platform AI Engineering team, you will drive the next wave of automation in IT operations by designing and deploying agentic AI solutions that proactively resolve issues, reduce operational burden, and enhance security. Your mission is to eliminate EUS operations tickets through autonomous agents that anticipate, detect, and resolve user and system challenges before they require human intervention. You will partner across IT, security, and business teams to build secure, compliant, and scalable AI-driven workflows that improve employee experience and safeguard our IT enterprise environment. This position is an individual contributor role reporting to the Senior Manager, Cloud Apps. Responsibility • Develop and deploy agentic AI solutions that autonomously resolve common EUS operations tickets (service requests, incidents, and routine tasks) using frameworks 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 • 5+ years of experience in AI/ML engineering, IT automation, or SaaS development • 2+ years in agentic AI frameworks, workflow automation, or intelligent IT service management • Hands-on experience working with LLMs and integrating RAG pipelines into enterprise solutions • Hands on experience on one or more scripting/programming languages (e.g., Python, Java) • Experience embedding security and compliance controls into AI or automation solutions • Strong understanding of IT operations, incident management, and ticketing systems • Familiarity with Agile, DevOps, and CI/CD practices • Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes) • Ability to design and implement Conversational AI chatbots and virtual assistants to deliver intuitive, human-like IT support and streamline end-user interactions • Bachelor's degree in Computer Science, Engineering, or related field Preferred • Experience with AI/ML frameworks and multi-agent orchestration platforms • Hands on experience on one or more scripting/programming languages (e.g., Python, Java) • Experience in developing, designing or integrating front-end AI application entry points (e.g., chatbots, copilots, self-service portals) for end-user interaction • Ability to present proof of concepts effectively: Adequate frontend, backend, and DevOps experience to rapidly build and demonstrate agentic AI solutions • Familiarity with zero-trust and security monitoring in SaaS and IT environments • Track record of reducing operational burden via automation or agentic AI • Certifications in AI, cloud computing, or ITSM platforms • Demonstrable experience in prompt engineering and designing effective prompt strategies for LLMs • Experience with cloud providers (AWS, Azure, GCP) and SaaS integration patterns • Strong collaboration skills with IT, security, and business stakeholders • Ability to drive innovation and adoption of agentic automation at scale Wage Transparency Pay for this position is based on a