Guardrails Engineer

Guardrails Engineer

Guardrails Engineer will build and automate guardrail testing, adversarial testing, policy validation, security checks, and evidence generation for AI agents and LLM-powered solutions. This role is responsible for helping ensure safe, compliant, and controlled deployment of Agentic AI use cases.

Key Responsibilities:

• Develop automated guardrail testing frameworks for LLM-powered applications, agents, tools, and workflows.
• Perform adversarial testing, prompt injection testing, jailbreak testing, red-team-style testing, and policy control validation.
• Validate content safety, data protection, security, responsible AI, and model risk controls.
• Build repeatable evidence packages to support approval gates and governance reviews.
• Collaborate with Product Owners, risk, security, observability, and engineering teams to define control requirements.
• Integrate guardrail tests into platform lifecycle, CI/CD, release readiness, and production enablement processes.
• Document findings, control gaps, remediation recommendations, and readiness evidence.

Required Qualifications:

• 7+ years of engineering, security testing, QA automation, risk technology, AI safety, or platform testing experience.
• 5+ years of strong hands-on Python and test automation experience.
• 5+ years of understanding of LLM risks, prompt injection, jailbreak attempts, content safety, data leakage, and Responsible AI controls.
• 5+ years of experience creating test harnesses, validation processes, and repeatable evidence artifacts.
• Ability to work with engineering, security, risk, compliance, and product stakeholders.

Required Skills / Knowledge:

• Python, adversarial testing, red-team testing, prompt security, responsible AI, guardrails, security testing, test harnesses, and evidence automation.
• Understanding of AI governance, model risk, content policy controls, approval gates, and regulated delivery.
• Ability to automate repeatable quality and safety checks for enterprise AI solutions.

Preferred Qualifications:

• Experience with GenAI security, AI red teaming, model risk controls, or regulated AI delivery.
• Experience with CI/CD, observability, Kubernetes, cloud platforms, and enterprise security frameworks.
• Banking or financial services experience.

Expected Outcomes:

• Automated guardrail and adversarial testing framework.
• Repeatable governance evidence for AI approval gates.
• Improved safety, control validation, and release confidence for agents.