AI Assurance Lead

1 week ago

Bengaluru, Karnataka, India T3 Full time

T3 is a female-led market leader in AI for Governance, Risk & Compliance (GRC) and Responsible AI. In 2025, we won four awards for our work in Responsible AI. We have trained 20 governments and supported two of the three global Big Tech companies in advancing their AI governance and assurance programmes, alongside major financial institutions and regulators.

We are expanding into solutions at the intersection of Responsible AI and GRC — working directly with regulators, standards bodies, and highly regulated industries to set the benchmark for trustworthy AI.

The Role: Tech Lead – Responsible AI Engineering

We are seeking a Tech Lead with significant experience in AI and machine learning, capable of shaping architecture and leading delivery in a fast-growing domain. This could be a senior engineer with several years of industry or applied research experience, or an exceptional graduate/post-doctoral researcher from leading institutions (IIT, Stanford, UCL, or equivalent) who has already demonstrated technical leadership and is ready to step into a pioneering role.

As one of our earliest technical hires, you will work shoulder-to-shoulder with T3's Responsible AI specialists and regulatory experts, helping to translate governance and compliance principles into robust, real-world technology. This is a foundational leadership role, combining the stability of a permanent position with the upside of equity participation.

Key Responsibilities

Architecture & Build

  • 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.

AI Model Testing

  • 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 T3's solutions.
Skills & Experience
  • Proven track record building, training, and evaluating AI/ML models (industry, research, or advanced academic projects).
  • 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, 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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