AI Governance Expert

1 week ago


Pushkar, Rajasthan, India beBeeArtificial Full time US$ 1,60,000 - US$ 2,00,000
Job Overview

We are seeking an AI Assurance Lead to spearhead the development of innovative solutions at the intersection of Responsible AI and Governance, Risk & Compliance (GRC).

This role will involve collaborating with global leaders in shaping the future of AI governance and compliance.

The successful candidate will have a proven track record of building, training, and evaluating AI/ML models, as well as experience developing or integrating AI testing and assurance tools.

Key Responsibilities:

  • Solution Architecture
    • Define and lead the architecture of new systems, including back-end, APIs, and lightweight front-end.
    • Integrate open-source AI testing and assurance libraries into deployable frameworks.
    • Deliver lightweight, portable solutions in cloud environments.
  • AI Model Evaluation
    • Build and rigorously test models against fairness, robustness, explainability, and governance principles.
    • Implement reproducible pipelines for evaluation, benchmarking, and reporting.
    • Create dashboards and artefacts suitable for supervisors, standards bodies, and clients.
  • Collaboration & Growth
    • Partner with global Responsible AI leaders who have shaped the EU AI Act, OECD AI Principles, and FCA guidance.
    • Translate complex governance and compliance requirements into practical, engineering-led solutions.
    • Contribute to pilots, client delivery, and the long-term technical roadmap of our solutions.

Required Skills & Experience:

  • A strong proficiency in Python and modern ML/AI libraries.
  • Experience with cloud computing (AWS, Azure, or GCP) and knowledge of scaling, training, and deployment of AI models.
  • Awareness of Responsible AI frameworks (EU AI Act, NIST AI RMF, FCA/ESMA guidance).
  • Hands-on familiarity with explainability and fairness tools (e.g. SHAP, LIME, AIF360, ART).
  • Excellent communication and documentation skills, with the ability to operate across technical and non-technical teams.
  • Intellectual curiosity, self-drive, and the ambition to grow into a senior technical leadership role.
  • A collaborative style: someone who values kindness, honesty, and humility, and doesn't take themselves too seriously.


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