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.

📌 Responsible AI (RAI) Engineer (Uttar Pradesh)
🏢 HCLTech
📍 Uttar Pradesh