Job Responsibilities
Works closely with Data Scientists and AI Researchers to advance experiments into more robust, scalable, highly optimized production-grade apps.
Develops and writes software applications for AI/ML platforms as well as building Generative AI based applications including Agents.
Utilizes creative problem‑solving skills to design, develop, and troubleshoot technical solutions, thinking beyond conventional approaches to innovate and resolve complex technical challenges.
Proactively identifies opportunities to streamline, eliminate, or automate the remediation of recurring issues and developer challenges, enhancing the operational efficiency and excellence of software applications and systems.
Leads evaluation sessions (cross‑team) to drive outcomes‑oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture.
Drives team adoption of enterprise‑authorized AI‑assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI‑assisted code review/refactoring, test strategy acceleration, incident/root‑cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
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.
Leads communities of practice across Software Engineering to drive awareness and use of new and leading‑edge technologies.
Mentors engineer within the team and drives practice across junior engineers in the team, as well as researchers / data scientists as they prototype solutions.
Adds to team culture of diversity, opportunity, inclusion, and respect.
Required Qualifications, Capabilities, and Skills
Formal training or certification on software engineering concepts with applied Full stack development experience.
Practical experience in Infrastructure as Code development, ideally using Terraform.
Hands‑on practical experience in system design, application development, testing, and ensuring operational stability.
Advanced proficiency in one or more programming languages, with a strong focus on Python.
Expertise in automation and continuous integration, delivery, and testing (CI/CD/CT) methods.
Demonstrated experience leading effective use of approved AI‑assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the 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 considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices.
Comprehensive understanding of the Software Development Life Cycle (SDLC) and Model Development Life Cycle (MDLC).
Deep understanding of agile methodologies and basic proficiency in architectural frameworks.
Demonstrated proficiency in platform development and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).
Preferred Qualifications, Capabilities, and Skills
Demonstrable mastery of AI tools to enhance productivity and efficiency in daily tasks.
Self‑motivated and proactive, with a strong ability to identify issues and challenge the status quo.
Demonstrates initiative in learning and adapting to new technologies and methodologies.
Experience in / exposure to a major business‑facing integrated application environment (e.g. risk, trading) and working with business‑facing developers.
Proven problem‑solving skills with a focus on innovation and continuous improvement.
Excellent communication and collaboration skills to work effectively within cross‑functional teams.
Equal Opportunity and Legal NoticeJ.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.
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.
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