Responsible AI

About the Role :

We are seeking a highly skilled and principled Responsible AI Evaluator to assess, audit, and ensure the ethical development and deployment of AI models across the enterprise. This role spans traditional ML models, Large Language Models (LLMs), and Generative AI systems, with a strong focus on fairness, transparency, privacy, security, and accountability across multi-cloud environments (AWS, Azure, GCP, etc.).

The ideal candidate combines deep technical expertise with a firm grasp of ethical frameworks, regulatory requirements, and responsible AI principles.

Key Responsibilities :

• Model Evaluation & Auditing
• Evaluate AI / ML, LLM, and GenAI models for bias, fairness, explainability, and robustness.
• Conduct red-teaming, safety testing, and adversarial analysis across AI pipelines.
• Perform pre-deployment, post-deployment, and continuous model audits.
• Responsible AI Frameworks
• Operationalize and implement RAI principles based on NIST AI RMF, OECD, ISO / IEC 42001, and industry standards.
• Collaborate with data scientists, legal, compliance, and product teams to enforce responsible AI lifecycle checkpoints.
• Multi-Cloud Deployment Compliance
• Ensure AI / ML systems deployed across AWS, Azure, GCP, and hybrid environments meet data residency, compliance, and ethical standards.
• Evaluate model behavior variability and risk exposure across different cloud providers.
• Tooling & Automation
• Build or integrate tools for model explainability (e.g., SHAP, LIME), fairness (AIF360, Fairlearn), and privacy (DP libraries).
• Leverage LLM-specific eval frameworks (e.g., TruthfulQA, HELM, RAGAS, model-card generators).
• Documentation & Reporting
• Produce model cards, system cards, and impact assessments (e.g., DSA, DPIA).
• Deliver detailed evaluation reports, risk scores, and mitigation recommendations for internal and external stakeholders.

Required Qualifications :

Preferred Qualifications :

Why Join Us :