Responsible AI (RAI) Engineer

Job Role: Responsible AI (RAI) Engineer

• Embed Responsible AI principles such as fairness, accountability, transparency, privacy, and safety into AI solutions.
• Design and implement bias detection, bias mitigation, explainability, and model governance frameworks.
• Build and enforce guardrails for LLM and GenAI systems.
• Conduct AI risk assessments before production deployment.
• Ensure compliance with AI governance policies, regulations, and industry standards.
• Monitor AI systems for hallucinations, harmful outputs, bias, drift, data leakage, and misuse.
• Support AI audits, reviews, and governance board evaluations.
• Collaborate with Legal, Compliance, Security, Risk, Data Science, and Engineering teams.
• Define and implement AI monitoring, logging, and audit mechanisms.

Required Skills

• Generative AI, LLMs, Machine Learning, AI Ethics
• Responsible AI principles (Fairness, Transparency, Accountability, Explainability)
• AI Governance, Risk Management, Compliance
• AI Safety and Guardrails
• Python Programming
• AI Monitoring and Observability
• Security, Privacy, and Data Protection
• Model Validation and Risk Assessment

Preferred Skills

• Experience with Responsible AI frameworks and governance tools.
• Knowledge of global AI regulations and compliance requirements.
• Experience implementing content moderation and LLM safety controls.
• Familiarity with AI audit processes and enterprise governance models.

Experience

• 6 to 10 years of overall experience in Software, Data, AI, or ML Engineering.
• 2 to 4+ years in AI Governance, Responsible AI, AI Security, Risk, Ethics, or Compliance-focused roles.
• Hands-on experience with GenAI/LLM-based applications is highly desirable.