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).

What you’ll do

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.

Responsibility

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

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 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 actionable recommendations

Preferred

Excellent communication and collaboration skills

Bachelor’s or Master’s degree in Computer Science, Information Security, or a related field

Excellent stakeholder management and communication skills across technical and business audiences

Strong cross‑functional collaboration and stakeholder management skills, especially with Product, Engineering, Data, Privacy, and executive teams

Experience with privacy‑preserving machine learning techniques (e.g., differential privacy, federated learning)

Knowledge of relevant regulations and standards (e.g., GDPR, NIST, ISO 27001) as they pertain to employee data and AI / ML usage

Experience with MLOps, CI / CD pipelines, and enterprise‑scale AI deployments

Experience with exploiting common security vulnerabilities

Knowledge of common exploit mitigations and how they work

Coding and scripting experience in one or more general purpose languages

Certifications : CAIP, CISM, CRISC, CISSP, CCSP, or equivalent

Familiarity with attack surface monitoring, supply chain security, and continuous control validation

Experience driving automation strategies, predictive analytics, and data‑driven insights

Knowledge of frameworks such as NIST CSF, NIST AI RMF, ISO 27001, ISO 42001, FAIR, SOC 2, and FedRAMP

Wage Transparency

Pay for this position is based on a number of factors including geographic location and may vary depending on job‑related knowledge, skills, and experience.

Based on applicable legislation, the below details pay ranges in the following locations :

California : $141,700.00 - $227,825.00 base salary

This role is also eligible for the following :

• Bonus : Sales personnel are eligible for variable incentive pay dependent on their achievement of pre‑established sales goals. Non‑Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.

Global benefits provide options for the following :

Life at Docusign

Working here

Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what’s right, every day. At Docusign, everything is equal.

We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you’ll be loved by us, our customers, and the world in which we live.

Accommodation

Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com.

If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance.

Applicant and Candidate Privacy Notice

States Not Eligible for Employment

This position is not eligible for employment in the following states : Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming.

Equal Opportunity Employer

It's important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive. We encourage great talent who bring a range of perspectives to apply for our open positions. Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can‑do approach. We will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category.

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