AI Agentic Engineer

Position Overview

At DocuSign, a leader in e-signature and contract lifecycle management, you'll work as an AI Agentic Engineer on the End User Services team. In this individual contributor role reporting to the Director, IT Operations, you will drive the next wave of automation in IT operations by developing, deploying, and maintaining advanced AI-driven tools—such as intelligent chatbots and autonomous support agents—to enhance efficiency and user satisfaction. You will collaborate with IT, security, and business teams to build secure, compliant, and scalable solutions.

Key Responsibilities

• Develop and deploy agentic AI solutions that autonomously resolve common EUS operations tickets 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, troubleshoot, and optimize the performance of AI and automation systems (providing Tier 2/3 level support for automation tools).
• Partner with EUS Engineering, Security, and IT platform teams to identify and implement high-impact automation opportunities.
• Design, develop, document, and implement AI-powered automation solutions (e.g., conversational AI, RPA, agentic workflows) specifically for IT Help Desk and End-User Support processes.
• 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.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field with 2+ years of experience, or Master’s degree with 3+ years of experience.
• 2+ years of experience in AI/ML engineering, IT automation, or SaaS development.
• Experience with agentic AI frameworks, workflow automation, or intelligent IT service management.
• Experience working with LLMs, vector databases, and integrating RAG pipelines into enterprise solutions.
• Proficiency in one or more scripting/programming languages (e.g., Python, Java).
• Demonstrated ability to embed security and compliance controls into AI or automation solutions.
• Experience with IT operations, incident management, and ticketing systems.
• Familiarity with Agile, DevOps, and CI/CD practices.
• Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).

Preferred Qualifications

• Experience with AI/ML frameworks and multi-agent orchestration platforms.
• 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 with hands-on frontend, backend, and DevOps experience.
• Familiarity with zero-trust and security monitoring in SaaS and IT environments.
• A track record of reducing operational burden via automation or agentic AI.
• Certifications in AI, cloud computing, or ITSM platforms (e.g., Service Now).
• 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, supported by data analysis and reporting.

Benefits & Perks

• Compensation: In California, the pay range is $45.19/hour - $65.67/hour.
• Bonus: Eligible for a company bonus plan based on performance.
• Paid Time Off: Earned time off along with paid company holidays.
• Paid Parental Leave: Up to six months off following the birth, adoption, or foster care placement.
• Full Health Benefits Plans: Options available from day one, with some plans 100% employer paid.
• Retirement Plans: Select retirement and pension programs with the potential for employer contributions.
• Learning and Development: Opportunities including coaching, online courses, and education reimbursements.
• Compassionate Care Leave: Paid time off following the loss of a loved one or other significant life events.