Engineering AI Software Engineer - Vice President - London

Requirements:

• Bachelor's or master's degree in computer science, Engineering, or a related field.
• Minimum 6 years of relevant industry experience.
• Proficiency in programming languages such as Python, Java, or GoLang.
• Experience with AI and machine learning technologies, particularly in the context of coding assistants.
• Strong problem-solving skills and the ability to think critically and creatively.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
• Experience of using and developing RESTful web Services.
• Experience or interest in building mission critical and highly available systems.
• Experience of end-to-end design and implementation of software products.
• Team player, eager to work in a regional agile/scrum pod within a global organization.
• Analytical mindset, creativity, and commercial focus to deliver optimal solutions for the business.

What You'll Be Doing:

• Design, develop, and maintain tools and platform services that enhance the developer experience.
• Implement AI-driven solutions to assist with coding and improve developer productivity.
• Collaborate with cross-functional teams to integrate internal knowledge and best practices into development tools.
• Continuously evaluate and improve existing tools and platforms to ensure they meet the evolving needs of GS engineers.
• Be part of our continual drive to innovate and uplift our platforms to take advantage of new technologies (such as machine learning, cloud platforms).
• Provide technical guidance and support to other team members and stakeholders.
• Stay up to date with the latest industry trends and technologies to ensure our tools and platforms remain cutting-edge.
• Champion AI tools and solutions through AI governance committees for approval, demonstrating compliance with security standards, model validation requirements, and regulatory guidelines to ensure safe release into production.
• Monitor and maintain compliance of deployed AI tools through regular security audits, vulnerability assessments, and updates to meet evolving regulatory requirements and internal policy changes.

Nice to Haves:

Perks and Benefits: