Responsible AI System Architect

2 weeks ago


tumakuru, India beBeeEvaluator Full time

Responsible AI Evaluator RoleWe are seeking a 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.The ideal candidate combines deep technical expertise with a firm grasp of ethical frameworks, regulatory requirements, and responsible AI principles.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.Key Responsibilities: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.Ensure AI/ML systems deployed across AWS, Azure, GCP, and hybrid environments meet data residency, compliance, and ethical standards.Required Skills and Qualifications:5+ years of experience in AI/ML evaluation, testing, or assurance roles.Proven experience with LLMs (e.g., GPT, Claude, LLaMA) and generative AI (e.g., DALL·E, Midjourney, custom diffusion models).Strong knowledge of fairness, bias detection, differential privacy, red-teaming, model transparency techniques.Familiarity with AI regulation and governance (EU AI Act, FTC guidance, DSA, HIPAA, etc.).Experience with cloud platforms (AWS, Azure, GCP) and deploying/evaluating AI services in distributed architectures.Proficiency in Python and libraries such as scikit-learn, Transformers, LangChain, MLflow, PyTorch, etc.Why Join Us?Work at the cutting edge of AI ethics, safety, and trust.Collaborate with interdisciplinary teams across engineering, legal, and policy.Influence how AI is responsibly used across industries and sectors.



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