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About the Role

As an Applied AI ML Lead Engineer, Vice President, you will enhance, build, and deliver trusted, market-leading technology products in a secure, stable, and scalable way. You will be a core technical contributor on an agile team, delivering critical technology solutions across multiple technical areas. You will help advance engineering outcomes by enabling responsible, compliant, and effective use of approved AI-assisted development practices.

Responsibilities

Drive adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes
Establish validation standards for AI-assisted work, including secure coding, peer review, and automated testing
Promote reuse of effective patterns across the team to improve consistency and reliability
Apply software development lifecycle tools, including approved AI-assisted development and automation capabilities, to increase the value realized from automation

Requirements

Experience leading effective use of approved AI-assisted software development tools for coding, code review, test acceleration, and troubleshooting
Ability to set team expectations for validating AI outputs for correctness, performance, and security
Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and resiliency and security expectations
Experience coaching engineers on safe, compliant adoption of AI-assisted practices within delivery workflows
Knowledge of the financial services industry and its technology systems
Proficiency in Python or an equivalent programming language
Experience working in AWS or an equivalent cloud environment, with understanding of Terraform, EKS, and ECS
Strong knowledge of system and application design
Familiarity with CI/CD pipelines and software development lifecycles
Experience with prompt engineering and retrieval-augmented generation (RAG) based architecture
Ability to communicate with clarity and credibility across senior engineers, stakeholders, and product partners
Experience building agentic tools and AI agents that support engineering workflows in production environments
Experience with Airflow

Skills

AI-assisted engineering practices
Agentic tools
Engineering standards
Python
AWS
Terraform
EKS
ECS
System design
Application design
CI/CD pipelines
Software development lifecycles
Prompt engineering
Retrieval-augmented generation (RAG)
Airflow

Experience Level

Vice President

About the Company

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors.
Our first-class business in a first-class way approach to serving clients drives everything we do.
We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
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.

Equal Opportunity

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.