
AI Governance Specialist
3 days ago
We are seeking a lead to shape our Responsible AI engineering efforts. The ideal candidate has significant experience in AI and machine learning, capable of shaping architecture and leading delivery in a fast-growing domain.
This is a foundational leadership role, combining the stability of a permanent position with the upside of equity participation.
- Main 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.
- Key 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.
This role offers a unique opportunity to work shoulder-to-shoulder with global Responsible AI leaders who have shaped the EU AI Act, OECD AI Principles, and FCA guidance.
The successful candidate will contribute to pilots, client delivery, and the long-term technical roadmap of our solutions.
Awareness of Responsible AI frameworks (EU AI Act, NIST AI RMF, FCA/ESMA guidance) is essential.
About UsWe are expanding into solutions at the intersection of Responsible AI and Governance, Risk & Compliance — working directly with regulators, standards bodies, and highly regulated industries to set the benchmark for trustworthy AI.
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