AI System Assurance Leader

7 hours ago

Ghaziabad, Uttar Pradesh, India beBeeAI Full time ₹ 1,14,00,000 - ₹ 1,54,00,000

We are seeking an experienced leader to head our Artificial Intelligence Assurance team. This is a key role in ensuring the integrity and trustworthiness of our AI systems.

Job Description

As an AI Assurance Lead, you will be responsible for defining and leading the architecture of new systems, integrating open-source AI testing and assurance libraries into deployable frameworks, and delivering lightweight, portable solutions in cloud environments. You will also build and rigorously test models against fairness, robustness, explainability, and governance principles, implement reproducible pipelines for evaluation, benchmarking, and reporting, and create dashboards and artefacts suitable for supervisors, standards bodies, and clients.

Key Responsibilities:
  • Define and lead the architecture of new systems (back-end, APIs, lightweight front-end).
  • Integrate open-source AI testing and assurance libraries into deployable frameworks.
  • Deliver lightweight, portable solutions in cloud environments.
  • 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.
  • 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 T3's solutions.

The successful candidate will have a proven track record building, training, and evaluating AI/ML models, experience developing or integrating AI testing and assurance tools strongly preferred, 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; and intellectual curiosity, self-drive, and the ambition to grow into a senior technical leadership role.

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