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About the Role

Help turn cutting edge AI research into production grade capabilities. You will build secure, scalable platforms and applications that accelerate experimentation while meeting high engineering standards. Partner closely with AI Researchers and Data Scientists to move prototypes into optimized, reliable solutions. Grow your influence by mentoring others and helping shape team practices. Join a team that values collaboration, inclusion, and continuous improvement.

Responsibilities

Collaborate with Data Scientists and AI Researchers to advance experiments into scalable, optimized, production grade applications
Develop software applications for AI and machine learning platforms, including generative AI applications such as agents
Design and troubleshoot technical solutions using creative problem solving to address complex engineering challenges
Identify and automate remediation for recurring issues and developer pain points to improve operational efficiency
Deliver solutions using continuous integration and continuous delivery pipelines to public and private cloud platforms
Support experimentation environments, including tools such as Jupyter Notebooks
Mentor junior engineers and help drive engineering practices across the team and with research partners
Contribute to a team culture of diversity, opportunity, inclusion, and respect
Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Requirements

Formal training or certification in software engineering concepts with applied full stack development experience
Practical experience developing infrastructure as code, ideally using Terraform
Hands-on experience building applications, testing, and supporting operational stability
Experience with automation and continuous integration, delivery, and testing methods
Working knowledge of the Software Development Life Cycle and Model Development Life Cycle
Understanding of agile methodologies and basic proficiency with architectural frameworks
Demonstrated experience in platform development within a technical discipline such as cloud, artificial intelligence, or machine learning
Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment
Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations

Skills

Python
Terraform
Jupyter Notebooks
AI coding assist tools
AI-assisted software development tools
Strong problem solving skills
Strong communication and collaboration skills

Experience Level

Software Engineer III

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.
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.

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.