Applied AI Director

TN United Kingdom; London; On-site; GBP 80,000 - 150,000; Full time

Job summary

An established industry player is seeking a visionary Executive Director to spearhead the transition to cutting-edge Large Language Model solutions within their Commercial and Investment Banking Applied AI team. This role involves collaborating with engineers and stakeholders to develop innovative AI systems that drive operational efficiency and business success. The ideal candidate will possess a strong background in AI leadership, with a proven track record in deploying LLM capabilities at scale. Join a dynamic team where your expertise will shape the future of AI in banking, fostering a culture of excellence and continuous improvement.

Qualifications

• Master's degree in a quantitative field required, PhD preferred.
• Extensive experience in leading AI teams with LLM focus.

Responsibilities

• Lead AI strategies focused on LLM-driven solutions.
• Oversee design and deployment of scalable AI systems.
• Mentor a team of AI practitioners for continuous learning.

Skills

Leadership in AI

Large Language Models (LLMs)

Python Programming

Statistical Data Analysis

Communication Skills

Team Management

Education

Master’s in Computer Science

PhD in Machine Learning

Tools

PyTorch

TensorFlow

SageMaker

Job description

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As an Executive Director in our Commercial and Investment Banking Applied AI team, you will help lead our transition from traditional machine learning methods to cutting-edge Large Language Model (LLM) solutions, driving innovation and delivering transformative technologies that propel our Markets business forward. You will collaborate with software engineers, business stakeholders, and AI practitioners to develop and deploy LLM-based solutions that enable our business to scale and thrive.

Are you a visionary technical leader with a passion for leveraging LLMs and wider AI tools to drive meaningful, real-world change? We are seeking individuals who think differently and are eager to challenge the status quo.

Job Responsibilities:

• Lead the formulation and execution of AI strategies focused on LLM-driven solutions to address complex challenges in Markets Operations, ensuring alignment with business objectives.
• Oversee the design, development, and deployment of robust, scalable, and reusable AI systems that deliver measurable business impact.
• Partner with engineering and business teams to integrate LLM services seamlessly into strategic systems and processes, enhancing operational efficiency.
• Establish comprehensive evaluation frameworks to assess model performance and drive continuous improvement in alignment with business goals.
• Deepen your understanding of the Markets business to identify opportunities for AI-driven innovation and deliver practical, impactful solutions.
• Lead, mentor, and inspire a team of AI practitioners, fostering a culture of excellence, innovation, and continuous learning.
• Ensure the creation and maintenance of production-grade code for ML solutions, adhering to best practices and industry standards.
• Be hands-on in the development of solutions, actively contributing code.

Required qualifications, experience, and skills:

• Master’s or higher qualification in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related highly quantitative field.
• Extensive experience in leading and managing high-performing AI or data science teams, with a focus on LLM solutions.
• Deep understanding of LLM approaches and practical experience with statistical data analysis and experimental design.
• Proven track record of developing and deploying LLM capabilities in production at scale.
• Strong experience with Python programming and common ML frameworks (., PyTorch, TensorFlow) and MLOps platforms (., SageMaker).
• Exceptional verbal and written communication skills, with the ability to convey complex technical concepts to diverse audiences.
• Demonstrated ability to work effectively on multi-disciplinary teams with diverse backgrounds.

Preferred Qualifications, Capabilities, and Skills:

• PhD in Machine Learning, Computing Science, or related fields.
• Strong client partnership, stakeholder management, and project management skills.
• Proven ability to deliver impactful books of work that drive business success.