Principal AI Engineer

• Maintain strong customer relationships with fee earners and business teams to manage the delivery of driving the technical strategy for AI solutions, ensuring scalable architecture and alignment with best practices.
• Work as part of the Enterprise Architecture & Technology Platforms leadership team to collectively define, implement and operate the firm’s technical strategy for AI solutions, ensuring scalable architecture and alignment with best practices.
• Work with senior stakeholders from business teams to understand AI use cases mapping to business outcomes.
• Act as the focal point for matters related to driving the technical strategy for AI solutions, ensuring scalable architecture and alignment with best practices, providing expert guidance to other teams when required.
• Performance management of AI Engineering, providing mentorship and ensuring alignment with HR standards and policies.
• Facilitate regular service provider reviews to assess performance against service targets, drive innovation and ensure any remediation activities are being delivered.
• Own the technical strategy for AI solutions, ensuring scalable architecture and alignment with best practices budget and benefits delivery, balancing priorities and clearly demonstrating the value that the firm’s AI solutions deliver whilst working with IT Business Operations to ensure alignment.
• Actively identify and pursue opportunities for continuous improvement in driving the technical strategy for AI solutions, ensuring scalable architecture and alignment with best practices, whilst assessing the viability and business value for the firm.
• Extensive experience in machine learning, deep learning, and AI model development, preferably within the legal or professional services sector.
• Proficiency in programming languages such as Python, R, or C-Sharp.
• Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.
• Experience with cloud platforms (AWS, GCP, Azure), experience with Azure a plus.
• Experience leveraging AI code-writing assistants (e.g., GitHub Copilot, Claude Code, Codex) with appropriate engineering controls (code review, testing, security) in professional environments.
• Knowledge of IT strategic planning, design, and operations processes.
• Proven project and program management capabilities.
• Strong knowledge of current IT and data market trends and technology innovations.
• Proven track record of managing large globally dispersed teams.
• Extensive background in the IT industry. With significant experience leading ML/data science teams.
• Excellent stakeholder engagement and communication skills.
• Excellent business acumen and understanding of how the firm is positioned in the market.
• Ability to lead and develop teams.
• Promotes the firm's values at all times and fosters collaborative working relationships with a wide range of people and departments.

We are an equal opportunities recruiter and do not discriminate on the basis of race, colour, sex, religion, sexual orientation, national origin, disability, or any other protected characteristic.

Our approach to hybrid working seeks to combine and maximise the benefits of effective remote working with the benefits of being in the office.

Our current hybrid working arrangements require office based working for a minimum of 30% of your time ( i.e. three days per two weeks for a full time role) in accordance with our hybrid working policy.

NO AGENCIES PLEASE - A&O Shearman does not accept unsolicited CVs.

For further information, please see our UK Recruitment Agency Policy and our commitment to direct sourcing here.