AI SaaS Engineer

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, connecting it to business systems of record to save time, money, and opportunity.

About the role

As an AI Agentic Engineer at Docusign, you will transform IT operations by designing and deploying autonomous AI agents that proactively resolve user and system issues. Your mission is to eliminate EUS operational tickets by building self-healing workflows that reduce manual intervention. You will integrate AI solutions with SaaS platforms, ensuring security and compliance across the enterprise environment. Collaborating across IT and security teams, you will drive continuous improvement in automation and agent performance. This role requires a strong technical background in AI/ML, automation frameworks, and a security-first mindset. You will have the opportunity to innovate in a fast-paced environment, helping Docusign simplify global business processes. This position is an individual contributor role reporting to the Senior Manager, Cloud Apps.

Responsibilities

• Develop agentic AI solutions
• Manage lifecycle workflows
• Utilize LLMs to enhance service delivery
• Contribute to the broader AI service ownership strategy, ensuring scalable and secure integrations

Requirements

• 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
• 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)

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: 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

Schedule

Hybrid: Employee divides their time between in-office and remote work. Access to an office location is required. Minimum 2 days per week in-office; frequency may vary by team but will include a weekly in-office expectation.

Pay

Pay for this position is based on geographic location and may vary depending on job-related knowledge, skills, and experience. Based on applicable legislation, the pay ranges in the following locations are:

• California: $119,100.00 - $184,700.00 base salary
• Washington, Maryland, New Jersey, and New York (including NYC metro area): $114,600.00 - $163,725.00 base salary

This role is also eligible for the following bonus:

• Sales personnel: variable incentive pay dependent on achievement of pre-established sales goals
• Non-Sales roles: company bonus plan, calculated as a percentage of eligible wages and dependent on company performance

Benefits

• Paid Time Off: earned time off, as well as paid company holidays based on region
• Paid Parental Leave: up to six months off with your child after birth, adoption, or foster care placement
• Full Health Benefits Plans: options for 100% employer-paid and minimum employee-contribution health plans from day one of employment
• Retirement Plans: select retirement and pension programs with potential for employer contributions
• Learning and Development: options for coaching, online courses, and education reimbursements
• Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events