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 a Senior 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
- Contributes to the team's GenAI education programme through training content, knowledge-sharing sessions, and mentoring of junior engineers and interns
- Champions the firm's culture of diversity, Opportunity, inclusion, and respect
- Formal training or certification on AI/ML engineering concepts and 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
- 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
Skills Required
- Formal training or certification on AI/ML engineering concepts and 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)
- 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 and ability to engage senior business stakeholders
- Experience applying new methods to determine solutions for complex technology problems across multiple technical disciplines
- Master's degree in Computer Science, Data Science, Engineering, or 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 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 — Medical, dental, vision, and mental health coverage are comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
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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