AI Enterprise Security 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).

We are seeking a talented and proactive AI Enterprise Security Engineer to join our team. In this role, you will be responsible for designing, implementing, and maintaining security solutions that enable the safe and responsible use of AI/ML tools and systems by employees across the organization. You will collaborate with engineering, product, and security teams to ensure that employee‑facing AI initiatives are secure, compliant, and aligned with business objectives.

This position is an individual contributor role reporting to the Sr Director of AI and Data Security.

• Develop and execute enterprise‑wide AI security strategies focused on the secure adoption and usage of AI/ML tools by employees

• Design and implement security controls for employee‑facing AI/ML platforms, applications, and supporting infrastructure

• Collaborate with cross‑functional teams to integrate security best practices into the AI/ML tool selection, deployment, and usage lifecycle

• Conduct threat modeling, risk assessments, and security reviews for AI/ML systems and tools accessed or used by employees

• Identify and mitigate AI/ML‑specific vulnerabilities, such as adversarial attacks, model misuse, and unauthorized access in employee workflows

• Establish and operationalize governance frameworks and guardrails for responsible AI tool adoption and usage across the organization

• Develop and enforce policies for safe and compliant employee use of AI/ML, including user access controls, monitoring, and incident response

• Ensure compliance with internal security standards, industry frameworks, and regulatory requirements related to employee use of AI/ML

• Translate technical security risks into business impact and communicate recommendations to stakeholders and leadership

• Define and track measurable security outcomes related to employee AI/ML usage, reporting progress to executive leadership

• Mentor and support other engineers and employees in AI security best practices

• Stay current with emerging AI security threats, tools, and research, and proactively update security measures for employee‑facing AI/ML

• Support customer‑facing security teams in security assurance activities as needed

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.

• 5+ years of experience in application or product security, with at least 1 year focused on AI/ML systems

• Experience with AI/ML concepts, architectures, and frameworks

• Experience with secure software development practices and tools

• Experiece with common AI/ML security threats and mitigation techniques

• Experience in programming languages such as Python, Java, or C++

• Experience with cloud platforms (AWS, Azure, GCP) and securing cloud‑based AI/ML deployments

• Experience with ssecure software development practices, AI/ML model security, and data governance

• Experience operationalizing security governance and compliance in complex environments

• Demonstrated ability to translate technical security risks into business context and…