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.
Job Responsibilities- 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 IPB advisors and clients across international markets
- Sets the engineering quality bar for the team's AI products through code reviews, technical design, and pairing with peers and junior engineers
- 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 new AI/ML opportunities and shaping them into funded workstreams
- 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
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Contributes to the team's GenAI education programme through training content, knowledge-sharing sessions, and mentoring of junior engineers and interns
- Formal training or certification on AI/ML engineering concepts and 5+ years applied experience
- Advanced proficiency in Python and modern software engineering practices (testing, design patterns, code review, version control)
- 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 models into production
- Practical experience with Large Language Models, including prompt engineering, RAG, fine-tuning, and agentic frameworks
- Practical experience with CI/CD, containerisation, and cloud-native deployment patterns
- Demonstrated experience delivering system design, application development, testing, and operational stability for ML or data-intensive systems
- Strong communication skills with confidence engaging senior business stakeholders and translating technical concepts for non-technical audiences
- Experience applying new methods to determine solutions for complex technology problems across multiple technical disciplines
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Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field (or equivalent applied experience)
- Industry-recognised cloud / GenAI certification (e.g., AWS Certified Generative AI Developer - Professional, or similar)
- Experience within financial services technology, particularly wealth, private banking, or asset management
- Experience with Databricks, Kubernetes, or comparable ML / cloud platforms
- Experience designing or contributing to AI governance, model validation, or guardrail frameworks
- 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.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Skills Required
- Formal training or certification in AI/ML engineering concepts and 5+ years of applied experience
- Advanced proficiency in Python and modern software engineering practices, including testing, design patterns, code review, and version control
- Fluency with AI coding tools such as Claude Code or GitHub Copilot
- Hands-on experience building, evaluating, and deploying machine learning models into production
- Practical experience with Large Language Models, prompt engineering, RAG, fine-tuning, and agentic frameworks
- Practical experience with CI/CD, containerization, and cloud-native deployment patterns
- Experience delivering system design, application development, testing, and operational stability for ML or data-intensive systems
- Strong communication skills and ability to engage senior business stakeholders and explain technical concepts to non-technical audiences
- Experience applying new methods to solve complex technology problems across multiple technical disciplines
- Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field, or equivalent applied experience
- Industry-recognized cloud or GenAI certification, such as AWS Certified Generative AI Developer Professional
- Experience in financial services technology, especially wealth management, private banking, or asset management
- Experience with Databricks, Kubernetes, or comparable ML/cloud platforms
- Experience designing or contributing to AI governance, model validation, or guardrail frameworks
- Familiarity with JPMorgan internal AI/ML infrastructure and governance
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
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Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
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Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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