Applied AI ML Lead-AI Engineer

We're looking for a hands-on senior AI engineer ready to take their career to new heights. Join the ranks of top talent at one of the world's most influential companies.

As Applied AI ML Lead- AI Engineer at JPMorgan Chase within the International Private Bank (IPB) Technology Artificial Intelligence and Machine Learning (AIML) Team, you provide deep engineering expertise and work across agile teams to enhance, build, and deliver trusted market-leading AI products in a secure, stable, and scalable way. You will translate business problems into agentic AI and machine learning solutions, taking models from concept through to production-grade services with measurable client and advisor impact.

You will be responsible to the Head of AI, IPB Tech for the end-to-end design, build, and production delivery of priority IPB AI/ML use cases, with particular focus on agentic AI applications, generative AI guardrails, and production ML supporting advisor and client journeys.

• Owns end-to-end delivery of priority IPB AI/ML use cases, from problem

framing and business case through to deployed, monitored production services with measurable advisor and client impact

• Leads the engineering build of agentic AI and LLM-powered products serving

• Formal training or certification on AI/ML engineering concepts and 5+ years

• Industry-recognised cloud / GenAI certification (e.g., AWS Certified

• Sets the engineering quality bar for the team's AI products through code

• Establishes and operates Responsible AI controls in production (guardrails,

evaluation frameworks, observability, and model risk controls) to firm-wide standards

• Acts as a primary technical partner to IPB business stakeholders, surfacing

• Represents the AIML team in firm-wide AI/ML governance and engineering

forums; ensures cross-border, regulatory, and data-privacy considerations are reflected in solution design

• Contributes to the team's GenAI education programme through training content,

knowledge-sharing sessions, and mentoring of junior engineers and interns

• Advanced proficiency in Python and modern software engineering practices

• Fluent with AI coding tools (e.g., Claude Code, GitHub Copilot) as a core

part of day-to-day software development, with the judgement to know when to lean on them and when not to

• Hands-on experience building, evaluating, and deploying machine learning

• Practical experience with Large Language Models, including prompt

• Practical experience with CI/CD, containerisation, and cloud-native

• Demonstrated experience delivering system design, application development,

• Strong communication skills with confidence engaging senior business

• Experience applying new methods to determine solutions for complex technology

• Master's degree in Computer Science, Data Science, Engineering, or a related

quantitative field (or equivalent applied experience)

• Experience within financial services technology, particularly wealth, private

• Experience with Databricks, Kubernetes, or comparable ML / cloud platforms
• Experience designing or contributing to AI governance, model validation, or

• Familiarity with JPM-internal AI/ML infrastructure and governance for

internal candidates

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.