AI Engineer – London, UK

AI Engineer – London, UK Overview

Join Capgemini’s Insights & Data (I&D) practice, where we focus on consulting with purpose, continuous evolution, and architecting the future. We are looking for an experienced AI Engineer Manager to lead the design, development, and deployment of enterprise-grade Artificial Intelligence and Generative AI solutions. The ideal candidate will possess strong technical expertise in AI and machine learning, along with leadership skills to manage teams, drive AI strategy, and deliver scalable solutions that align with business objectives.

Your Role:

• Design, develop, and implement AI/ML solutions to address business challenges and enhance operational efficiency.
• Build, train, assess, and optimize machine learning and generative AI models utilizing extensive datasets.
• Collaborate with various teams to incorporate AI functionalities into applications, products, and business processes.
• Monitor the performance of models, uphold responsible AI practices, and continuously improve solutions based on business needs and user feedback.
• Lead and mentor a team of AI Engineers, Data Scientists, and ML Engineers.
• Define and drive the roadmap for AI and Generative AI, ensuring alignment with the organization’s objectives.
• Architect, develop, and deploy AI and machine learning solutions using cloud-native technologies.
• Design and implement applications based on Large Language Models and Generative AI.
• Work with business stakeholders to identify AI opportunities and convert them into scalable solutions.
• Establish best practices for model development, deployment, monitoring, and governance.
• Oversee the complete delivery of AI projects, including planning, execution, risk management, and stakeholder communication.
• Ensure adherence to AI ethics, security, privacy, and responsible AI guidelines.
• Drive innovation by evaluating new AI technologies, frameworks, and tools.
• Collaborate closely with cross-functional teams, including Data Engineering, Cloud, DevOps, Architecture, and Product teams.

Your Skills:

• Proven experience in leading and managing technical teams.
• Strong stakeholder management and communication skills.
• Ability to define technical strategies and drive their execution.
• Experience in managing multiple AI initiatives and mentoring team members.

Benefits:

• Hybrid working model that allows flexibility between company offices, client sites, and home.
• Access to extensive training and development opportunities, including over 250,000 courses and certifications from recognized providers.
• Support for employee wellbeing through initiatives like trained Mental Health Champions and wellbeing apps.
• Recognition as one of the World’s Most Ethical Companies for 13 consecutive years.

Degree Requirement: Not Specified

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