JPMorgan Vice President AI Engineering Lead - Markets Operations 

United Kingdom, England, London 

449654507

As a Vice President, AI Engineering Lead within our Markets Operations Applied AI team, you will be instrumental in developing top-notch, production-grade AI solutions and crafting compelling Proof of Concepts and demos.

Job Responsibilities

• Develop High-Quality Software – Design, develop, and maintain robust, scalable, and high-performance software solutions that support AI/ML initiatives.
• Create PoCs and Demos – Rapidly prototype and develop PoCs and demos to effectively communicate AI/ML solutions to business stakeholders at an early stage.
• Collaborate with AI/ML Teams – Work closely with data scientists, ML engineers, and business stakeholders to understand requirements and translate them into technical solutions.
• Enhance Code Quality – Raise the standard of code quality and engineering practices across the data science team by implementing best practices and providing technical guidance.
• Integrate AI/ML Models – Collaborate with ML engineers to integrate AI/ML models into production systems, ensuring seamless deployment and operation.
• Mentor and Guide – Provide mentorship and technical leadership to team members, fostering a culture of continuous learning and improvement.

Required qualifications, capabilities, and skills

• Bachelor’s or higher qualification in Computer Science, Software Engineering, or a related field.
• Extensive experience in software development, with a strong focus on building scalable, high-performance applications.
• Solid understanding of AI/ML concepts and experience working with data science teams to develop and deploy AI/ML solutions.
• Proficiency in Python and web technologies.
• Proven ability to rapidly prototype and develop PoCs and demos to visualize complex technical solutions.
• Strong advocate for code quality, best practices, and software development methodologies.
• Effective verbal and written communication skills, with the ability to convey technical concepts to non-technical stakeholders.
• Demonstrated ability to work collaboratively in multi-disciplinary teams with diverse backgrounds.
• Proven ability to provide technical mentorship and guidance to team members.