Chief AI Architect

3 days ago


Anantapur, Andhra Pradesh, India beBeeResponsibility Full time US$ 1,20,000 - US$ 1,60,000
Tech Lead – AI Engineering

We are seeking a highly skilled Tech Lead to shape the architecture and lead delivery of our Responsible AI solutions. This is a pioneering role that combines technical expertise with leadership skills, working shoulder-to-shoulder with our AI specialists and regulatory experts.

  • Define and lead the architecture of new systems (back-end, APIs, lightweight front-end) to ensure robust and scalable solutions.
  • Integrate open-source AI testing and assurance libraries into deployable frameworks to enhance model reliability.
  • Deliver lightweight, portable solutions in cloud environments to meet client needs.

Achievements:

  • Built and rigorously tested models against fairness, robustness, explainability, and governance principles.
  • Implemented reproducible pipelines for evaluation, benchmarking, and reporting.
  • Created dashboards and artefacts suitable for supervisors, standards bodies, and clients.

Collaboration & Growth:

  • Partnered with global Responsible AI leaders who have shaped the EU AI Act, OECD AI Principles, and FCA guidance.
  • Translated complex governance and compliance requirements into practical, engineering-led solutions.
  • Contributed to pilots, client delivery, and the long-term technical roadmap of our solutions.
Key Responsibilities
  • Architecture & Build: Define and lead the architecture of new systems (back-end, APIs, lightweight front-end).
  • AI Model Testing: Built and rigorously tested models against fairness, robustness, explainability, and governance principles.
  • Collaboration & Growth: Partnered with global Responsible AI leaders who have shaped the EU AI Act, OECD AI Principles, and FCA guidance.
Requirements
  • 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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