
Leading Responsible AI Solutions Architect
1 week ago
This is a foundational leadership position that combines the stability of a permanent role with the upside of equity participation.
- Define and lead the architecture of new systems, integrate open-source AI testing and assurance libraries, and deliver lightweight, portable solutions in cloud environments.
- Build and rigorously test models against fairness, robustness, explainability, and governance principles, implement reproducible pipelines, and create dashboards and artefacts suitable for supervisors and clients.
- Partner with global Responsible AI leaders, translate complex governance and compliance requirements into practical solutions, and contribute to pilots, client delivery, and the long-term technical roadmap.
- Proven track record building, training, and evaluating AI/ML models.
- Experience developing or integrating AI testing and assurance tools, strong proficiency in Python and modern ML/AI libraries, experience with cloud computing, and awareness of Responsible AI frameworks.
- Hands-on familiarity with explainability and fairness tools, excellent communication and documentation skills, and intellectual curiosity, self-drive, and ambition to grow into a senior technical leadership role.
- A collaborative style, someone who values kindness, honesty, and humility.
- This is a great opportunity to work on cutting-edge technology and make a real impact in the industry.
- You will have the chance to work with a talented team of professionals and learn from their experiences.
- Our company offers a competitive salary and benefits package.
To be successful in this role, you will need:
- A bachelor's degree in Computer Science or a related field.
- At least 5 years of experience in AI/ML development and deployment.
- Strong knowledge of Python and modern ML/AI libraries.
- Experience with cloud computing and containerization.
- Excellent communication and documentation skills.
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