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Docusign

Runs electronic signing and agreement workflows

AI Detect and Respond Engineer

Security Operations & Incident ResponseUpdated on Nov 13
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • At least 5 years of experience in a Detection and Response engineering role, including at least 1 year focused on AI/ML systems.
  • Experience configuring and operating security enforcement platforms such as Zscaler, Netskope, or comparable proxy, data loss prevention, or AI guardrail tooling, including policy tuning and lifecycle maintenance.
  • Experience securing workloads in cloud providers such as Azure and AWS, including familiarity with their native AI/ML services and logging and telemetry sources.
  • Experience with large language model and agentic attack techniques, including prompt injection and indirect prompt injection, jailbreaks, tool and function-calling abuse, excessive agency, and exfiltration through model outputs.
  • Experience investigating or detecting threats in systems with non-deterministic audit trails and building detection logic against noisy or probabilistic signals.
  • Experience with the MITRE ATLAS framework, MITRE ATT&CK, and OWASP Top 10 for LLMs and Agents.
  • Experience with scripting languages such as Python, Go, or PowerShell for security automation.
  • Experience with SIEM, SOAR, and EDR platforms, and understanding how to integrate AI/ML models into these workflows.
  • Experience translating technical security risks into business context and actionable recommendations.
  • Bachelor's or Master's degree in Computer Science, Information Security, or a related field.

Responsibilities

  • Monitor the threat landscape for emerging tactics, techniques, and procedures targeting LLM and agentic systems, including new prompt injection and jailbreak methods, tool and MCP abuse, and agent-to-agent attack patterns.
  • Build monitoring and visibility for LLM and agent activity, including prompt and response logging, tool invocation and MCP call telemetry, and audit trails sufficient to investigate agent actions after the fact.
  • Own the configuration and ongoing management of AI protection platforms such as AI Guardrails, including policy authoring, prompt and response inspection rules, and enforcement for sanctioned and unsanctioned AI usage.
  • Collaborate with environment owners and Security Tooling teams to implement model security scanning capabilities, ensure coverage, and provide ongoing maintenance.
  • Extend AI detection and enforcement coverage across Azure and AWS environments, including cloud-native AI services such as Azure OpenAI Service and Amazon Bedrock and their associated logging and audit telemetry.
  • Collaborate with the Detection and Response teams to develop playbooks and detection logic for AI-based risks and attacks, including prompt injection, elevation of privilege, and data exfiltration.
  • Partner with Threat Intelligence teams to track threat actors leveraging LLMs for code generation, exploit development, or reconnaissance.
  • Translate technical AI security risks into business impact and communicate recommendations to operational stakeholders.

Desired Qualifications

  • Experience with AI system red teaming or conducting adversarial simulations.
  • Knowledge of frameworks such as NIST AI RMF, ISO 42001, and NIST CSF.
  • Experience operating security tooling across multi-cloud environments and integrating enforcement controls with identity, network, and endpoint platforms.
  • Experience driving automation strategies, predictive analytics, and data-driven insights.

About the Company

Docusign

Runs electronic signing and agreement workflows

Docusign runs electronic signing and agreement management software for businesses, letting people approve contracts online and track the steps around each agreement. Its eSignature product routes documents to signers and records who signed, while contract lifecycle tools organize preparation, negotiation, and approvals. The Intelligent Agreement Management platform stores contracts in a searchable repository and uses AI to extract terms and connect agreement data to business workflows. Customers use its web applications or embed signing through APIs, and pay for subscriptions based on users, features, and document allowances. Docusign was founded in 2003 and is headquartered in San Francisco.

Company size
5,001-10,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2003

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