Senior AI Engineer

A&O Shearman; Orsett; On-site; GBP 140,000 - 180,000; Full time

Job summary

A&O Shearman seeks a Senior AI Engineer (Manager) to lead the AI Platform strategy and delivery. You will mentor a global team of IT professionals and manage external providers to build scalable AI solutions.

You will own end-to-end lifecycle of AI projects—from model development to deployment—aligning with business outcomes and IT strategy while driving innovation across the firm.

Qualifications

• Experience in machine learning, deep learning, and AI model development.
• Proficiency in Python, R, or C# and AI frameworks such as TensorFlow or PyTorch.
• Proven track record leading large, global IT teams and driving AI strategy.

Responsibilities

• Lead AI Platform strategy and delivery across the firm.
• Mentor and manage a global AI engineering team and external service providers.
• Oversee end-to-end AI projects from model development to deployment and integration.

Skills

Machine learning

Deep learning

AI model development

Team leadership

Strategy planning

Stakeholder engagement

Tools

Python

R

C#

TensorFlow

PyTorch

scikit-learn

GitHub Copilot

Claude Code

Codex

Job description

We have an exciting opportunity for a Senior AI Engineer (Manager) to join our IT (EA & Technology Platforms) team, based in A&O Shearman's Belfast or London office.

What you will do

Reporting to the AI Platform Owner, this role will be a senior technical leader responsible for the strategy, design, and implementation of advanced AI and ML use cases across the firm. The role is a member of AI leadership and is responsible for managing and motivating a team of skilled IT professionals and directing external third-party service providers.

The role is accountable for the implementation of the full lifecycle of AI solutions including model development, validation, deployment, and integration into other systems while providing feedback to continue to evolve the AI platform.

The ideal candidate will have a strong background in machine learning, data analysis, and software development. The role will be responsible for designing, developing, and implementing AI solutions to solve complex problems and enhance our products and services resulting in improved experiences for our fee earners and business teams.

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.

What you will have

Experience in machine learning, deep learning, and AI model development

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 global teams.

Experience within the legal or professional services sector is desirable but not essential.

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 foster collaborative working relationships with a wide range of people and departments.

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