Senior AI Compliance Officer - London, UK

at  Infosys

Role – Senior Industry Principal/Senior AI Compliance Officer
Technology – Responsible AI, Artificial Intelligence, Machine Learning, AI Governance, AI Compliance
Location – London, UK

JOB DESCRIPTION

Today, the corporate landscape is dynamic and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture, the environment where ideas can flourish and where you are empowered to move forward as far as your ideas will take you.
At Infosys, we assure that your career will never stand still, we will inspire you to build what’s next and we will navigate further together. Our journey of learnability, values and trusted relationships with our clients continue to be the cornerstones of our organization and these values are upheld only because of our people.

SOFT SKILLS:

• Leadership and Team Management
• Collaboration
• Strategic Thinking and Problem Solving
• Resilience: Ability to stay calm under pressure and lead teams through stressful compliance challenges.
• Change Management: Ability to lead teams through evolving AI regulations and internal policy changes.
• Attention to Detail: High attention to detail, ensuring compliance processes are thorough and comprehensive.

AI Compliance Officer will play a crucial role in developing, implementing, and managing AI compliance frameworks to ensure that our AI systems meet regulatory, ethical, and transparency requirements. This role involves working closely with various internal teams, including legal, data science, AI development, and external regulatory bodies to ensure that the organization’s AI practices align with global standards and regulations
The role focuses on:
1. Ensuring that all AI systems and applications comply with relevant local and global regulations, guidelines, and standards and other emerging AI governance frameworks.
2. Develop and enforce ethical guidelines for AI use, ensuring that AI solutions are transparent, fair, and free from bias, while promoting accountability and responsible AI deployment.
3. Identify and mitigate potential risks associated with AI deployments, such as data privacy issues, unintended biases, and algorithmic transparency, to safeguard the organization’s reputation and trustworthiness.
4. Work closely with legal, ISG, DPO, AI development, and external regulatory bodies to create a comprehensive compliance framework that integrates technical, process and legal requirements into AI projects.