Corporate Technology - AI ML Lead

JPMorganChase; Chicago (IL); On-site; USD 138,000 - 235,000; Full time

Job summary

JPMorgan Chase & Co. is seeking an AI ML Lead in Chicago to own end-to-end delivery of high-impact IPB AI/ML use cases, from framing business cases to deployed production services with observable client impact.

The role requires a Master’s in a quantitative field and 5+ years of applied AI/ML experience, strong Python and CI/CD skills, and hands-on experience with LLMs, Databricks, and Kubernetes in cloud-native deployments.

Qualifications

• Master's degree in Computer Science, Data Science, Engineering, or related quantitative field; 5+ years applied experience.
• Advanced proficiency in Python and modern software engineering practices.
• Fluent with AI coding tools (e.g., Claude Code, GitHub Copilot).
• Hands-on experience building, evaluating, deploying ML models into production with LLMs.
• Experience with CI/CD, containerization, and cloud-native deployment patterns.
• Demonstrated ability delivering system design and operational stability for ML/data-intensive systems.

Responsibilities

• Owns end-to-end delivery of IPB AI/ML use cases from framing to production services.
• Leads engineering build of agentic AI and LLM-powered products across international markets.
• Sets engineering quality bar via code reviews, design, and pairing with peers/juniors.
• Establishes and operates Responsible AI controls to firm-wide standards.
• Acts as technical partner to IPB business stakeholders, surfacing AI/ML opportunities.
• Represents AIML team in governance forums, ensuring regulatory and data-privacy considerations.

Skills

Python

AI/ML engineering

CI/CD

Cloud deployment

Large Language Models

Model risk controls

Regulatory awareness

Education

Master's degree in Computer Science/Data Science/Engineering

Tools

Databricks

Kubernetes

GitHub Copilot

Docker

Job description

Corporate Technology - AI ML Lead

Chicago, IL, United States

Full time - Day shift

Base Pay/Salary: Chicago,IL $137,750.00-$235,000.00

Location: 10 S Dearborn St, Chicago, IL, 60603, US

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.

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, containerization, 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