AI 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 creative AI Security Automation Engineer to join our team. In this role, you will be responsible for designing, building, and deploying AI Agents and custom AI-powered tooling that empower the Security organization to work faster and more effectively. You will leverage cutting-edge technologies, such as Glean, Crew.AI, and cloud-native AI services on Azure and AWS, to automate complex security workflows. You will collaborate closely with security teams (Detection amp; Response, GRC, Product Security) to identify bottlenecks and engineer AI solutions that reduce manual toil, accelerate response times for customers and employees, and streamline security operations. This position is an independent contributor role reporting to the Sr Director of AI amp; Data Security. Responsibility Design and implement autonomous AI Agents and multi-agent systems (using frameworks like Crew.AI or LangChain) to automate repetitive security tasks and workflows Integrate and optimize new third-party AI-powered security solutions, ensuring seamless interoperability with existing security infrastructure Integrate enterprise AI search and knowledge retrieval tools (e.g., Glean) into security operations to accelerate information discovery and decision-making Develop and maintain custom AI/ML tooling on cloud platforms (AWS, Azure) to support internal security use cases Collaborate with security team members to identify high-impact opportunities for AI automation, such as automated ticket triage, vendor risk analysis, or vulnerability prioritization Ensure all developed AI tools and agents adhere to internal security standards, data privacy requirements, and governance guardrails Monitor the performance and reliability of deployed AI agents, continuously optimizing them for accuracy and efficiency Stay current with the rapidly evolving landscape of AI engineering, Agentic workflows, and LLM capabilities to bring new innovations to the team Translate technical capabilities of AI tools into tangible business value for the security organization 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 software engineering, DevOps, or security engineering, with a strong focus on automation and tooling Proficiency in Python and experience building applications with LLM frameworks (e.g., LangChain, Crew.AI, Semantic Kernel) Experience designing and deploying AI Agents or Chatbots that interact with external APIs and data sources Hands-on experience with cloud platforms (AWS, Azure, GCP) and serverless architecture (Lambda, Azure Functions) Experience with Vector Databases and RAG (Retrieval-Augmented Generation) architectures (e.g., utilizing Glean, Pinecone, or Azure AI Search) Strong understanding of software development lifecycles (SDLC), CI/CD pipelines, and version control (Git) Familiarity with security concepts and workflows (SOC, Vulnerability Management, GRC) to effectively partner with security stakeholders Preferred Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field Experience implementing Enterprise Search solutions like Glean or similar knowledge management platforms Certifications: AWS Certified Developer, Azure AI Engineer Associate, or security certifications like CISSP/CSSLP Experience with "Human-in-the-loop" AI system design to ensure safety and accuracy in automated decisions Knowledge of API security standards and secure coding practices for AI applications. Experience driving automation strategies and data-driven insights Excellent communication and collaboration skills, with the ability to influence technical and non-technical stakeholders 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 If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at for assistance. Applicant and Candidate Privacy Notice #LI-Hybrid #LI-SA4Basic 5+ years of experience in software engineering, DevOps, or security engineering, with a strong focus on automation and tooling Proficiency in Python and experience building applications with LLM frameworks (e.g., LangChain, Crew.AI, Semantic Kernel) Experience designing and deploying AI Agents or Chatbots that interact with external APIs and data sources Hands-on experience with cloud platforms (AWS, Azure, GCP) and serverless architecture (Lambda, Azure Functions) Experience with Vector Databases and RAG (Retrieval-Augmented Generation) architectures (e.g., utilizing Glean, Pinecone, or Azure AI Search) Strong understanding of software development lifecycles (SDLC), CI/CD pipelines, and version control (Git) Familiarity with security concepts and workflows (SOC, Vulnerability Management, GRC) to effectively partner with security stakeholders Preferred Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field Experience implementing Enterprise Search solutions like Glean or similar knowledge management platforms Certifications: AWS Certified Developer, Azure AI Engineer Associate, or security certifications like CISSP/CSSLP Experience with "Human-in-the-loop" AI system design to ensure safety and accuracy in automated decisions Knowledge of API security standards and secure coding practices for AI applications. Experience driving automation strategies and data-driven insights Excellent communication and collaboration skills, with the ability to influence technical and non-technical stakeholdersWe are seeking a talented and creative AI Security Automation Engineer to join our team. In this role, you will be responsible for designing, building, and deploying AI Agents and custom AI-powered tooling that empower the Security organization to work faster and more effectively. You will leverage cutting-edge technologies, such as Glean, Crew.AI, and cloud-native AI services on Azure and AWS, to automate complex security workflows. You will collaborate closely with security teams (Detection amp; Response, GRC, Product Security) to identify bottlenecks and engineer AI solutions that reduce manual toil, accelerate response times for customers and employees, and streamline security operations. This position is an independent contributor role reporting to the Sr Director of AI amp; Data Security. Responsibility Design and implement autonomous AI Agents and multi-agent systems (using frameworks like Crew.AI or LangChain) to automate repetitive security tasks and workflows Integrate and optimize new third-party AI-powered security solutions, ensuring seamless interoperability with existing security infrastructure Integrate enterprise AI search and knowledge retrieval tools (e.g., Glean) into security operations to accelerate information discovery and decision-making Develop and maintain custom AI/ML tooling on cloud platforms (AWS, Azure) to support internal security use cases Collaborate with security team members to identify high-impact opportunities for AI automation, such as automated ticket triage, vendor risk analysis, or vulnerability prioritization Ensure all developed AI tools and agents adhere to internal security standards, data privacy requirements, and governance guardrails Monitor the performance and reliability of deployed AI agents, continuously optimizing them for accuracy and efficiency Stay current with the rapidly evolving landscape of AI engineering, Agentic workflows, and LLM capabilities to bring new innovations to the team Translate technical capabilities of AI tools into tangible business value for the security organization