Senior AI Security & Governance EngineerRemote

Senior AI Security & Governance Engineer

Experience: 5-8 Years
Duration: 6 Months (Contract)
Working Hours: 02:00 PM - 11:00 PM IST
Location: Remote (First week should in Trivandrum/Kochi Office)

About the Role

We are hiring a Senior AI Security & Governance Engineer to build and enforce runtime-level AI safety and governance controls across enterprise AI systems.

This is a high-impact engineering role focused on embedding security guardrails and risk controls directly into AI workflows not policy documentation. You will help ensure safe compliant and production-ready AI deployments while enabling innovation at scale.

Role Summary

You will design and implement AI guardrails risk mitigation strategies and runtime enforcement mechanisms for agent-based and LLM-powered systems. The ideal candidate combines strong engineering skills with deep understanding of AI risks and enterprise governance.

Key Responsibilities

• Design and implement AI safety controls including:
  • Prompt filtering and sanitization
  • Output validation and moderation
  • Misuse and abuse prevention mechanisms
• Embed AI governance through code automation and system design
• Build auditability traceability and monitoring frameworks for AI systems
• Define and standardize security and safety patterns across AI agents and workflows
• Identify and mitigate AI risk scenarios and failure modes (e.g. prompt injection hallucinations data leakage)
• Collaborate with engineering and security teams to ensure secure AI deployments in production

Must-Have Skills

• Strong proficiency in Python / scripting
• Hands-on experience with:
  • Security governance or risk management systems
  • Policy-as-code frameworks / rule engines
• Solid understanding of:
  • AI/LLM risks - hallucinations prompt injection data leakage
  • Enterprise security and compliance principles
• Experience implementing runtime controls and guardrails in production systems

Good to Have

• Experience with IAM / governance tools (Saviynt ServiceNow approval workflows)
• Familiarity with Responsible AI frameworks / Model Risk Management
• Exposure to AI/ML systems or LLM-based applications

Education

• Bachelors degree in Computer Science Information Technology or related field

What Were Looking For

• Strong risk mindset with engineering depth (not just policy-focused)
• Ability to balance innovation with security and compliance
• Hands-on ownership-driven professional who can build and scale AI safeguards

Required Skills:

PythonScriptingSecurityRisk Management Tools