Corporate Technology - AI ML Lead

Aumni; Chicago (IL); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorgan Chase & Co. in the United States seeks an Applied AI ML Lead to head the engineering build of agentic AI and LLM-powered products serving IPB advisors and clients across international markets.

You will own end-to-end delivery from problem framing to deployed, monitored production services, and set the engineering quality bar through reviews and design practices. This role requires a Master’s degree in CS or a related field and hands-on ML deployment experience, with a focus on

Qualifications

• Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field (or equivalent applied experience); 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 and 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
• Experience applying new methods to determine solutions for complex technology problems across multiple technical discipline.

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.

Skills

AI/ML engineering

Python

Cloud platforms

CI/CD

ML production deployment

Responsible AI

Cross-border collaboration

Education

Master's degree in Computer Science or related field

Tools

Databricks

Kubernetes

Claude Code

GitHub Copilot

Job description

Join a team that 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.

As an Applied AI ML Lead, within the Corporate Technology Team, you will lead the engineering build of agentic AI and LLM-powered products serving IPB advisors and clients across international markets.

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.

Required qualifications, capabilities, and skills

• Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field (or equivalent applied experience); 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 and 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
• Experience applying new methods to determine solutions for complex technology problems across multiple technical discipline.

Preferred qualifications, capabilities, and skills

• 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

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 offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

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.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. 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.