Applied AI Lead - Build End-to-End AI Solutions in AWS

JPMorgan Chase & Co.; Glasgow; On-site; GBP 120,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. is seeking an Applied AI Lead in Glasgow to drive AI initiatives across Corporate Functions.

You will lead end-to-end AI products, collaborate with technology and business partners, source and integrate diverse data sources, and deploy solutions to public cloud for large-scale impact. You will apply advanced research, engineering, and data science to develop and evaluate models, while mentoring the team and ensuring high-quality, scalable AI software across the stack (LLMs,

Qualifications

• Advanced degree (Master’s or PhD) in any STEM subject.
• Practical research experience applying AI techniques to real-world problems.
• Strong Python programming skills and familiarity with the Python ecosystem.
• Proven ability to lead technical teams and manage stakeholders.

Responsibilities

• Lead design, build and deployment of end-to-end AI solutions surfacing actionable insights across multiple business groups.
• Drive research and development activities for AI products, setting technical direction and standards.
• Engage with stakeholders to translate business needs into robust technical solutions.
• Oversee the full product and software development lifecycle, including architecture, design, coding, testing and CI/CD.
• Mentor junior engineers and promote a culture of technical excellence.

Skills

Python

Leadership

Stakeholder management

LLMs

NLP

Graph analytics

React

AWS

Agentic systems

Education

Master’s or PhD in STEM

Tools

Graph databases

Graph analytics frameworks

React

AWS

Job description

JPMorgan Chase & Co. is seeking an Applied AI Lead in Glasgow to drive AI initiatives across Corporate Functions.

You will lead end-to-end AI products, collaborate with technology and business partners, source and integrate diverse data sources, and deploy solutions to public cloud for large-scale impact. You will apply advanced research, engineering, and data science to develop and evaluate models, while mentoring the team and ensuring high-quality, scalable AI software across the stack (LLMs,