We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. You’ll join a collaborative team where your ideas and skills help shape intelligent, data-driven products that power business innovation. As part of a diverse and inclusive environment, you’ll work alongside talented engineers and data scientists, deepening your expertise in Python and machine learning. If you’re passionate about solving complex problems and advancing technology, you’ll find strong support and growth opportunities here.
Job Summary:
As a Software Engineer III in Corporate Technology’s AI, ML & Data Platforms team, you will design and deliver secure, stable, and scalable technology solutions that support the firm’s data and artificial intelligence objectives. You will work as a valued member of an agile team, tackling technical challenges across multiple areas and contributing to end-to-end delivery. You will help strengthen engineering practices through thoughtful design, strong coding standards, and continuous improvement, while fostering a culture of inclusion and respect.
Job Responsibilities:
- Execute software solutions through design, development, and technical troubleshooting, applying creative thinking to break down complex technical problems
- Create secure, high-quality production code in Python and maintain algorithms that integrate effectively with supporting data and machine learning systems
- Produce architecture and design artifacts for complex applications and ensure design constraints are reflected throughout software development
- Gather, analyze, and synthesize large, diverse datasets to develop visualizations and reporting that support continuous improvement of software applications and systems
- Proactively identify hidden problems and patterns in data and apply those insights to improve coding hygiene and system architecture
- Collaborate with data scientists and platform engineers to support the development and deployment of machine learning and artificial intelligence solutions
- Contribute to software engineering communities of practice and participate in events that explore new and emerging technologies
- Support a team culture grounded in diversity, opportunity, inclusion, and respect
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards
- 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
Required Qualifications, Capabilities, and Skills:
- Formal training or certification on software engineering concepts and proficient applied experience
- Proficiency in Python for building scalable backend services and data-intensive applications
- Hands-on experience in system design, application development, testing, and operational stability
- Experience developing, debugging, and maintaining production code using modern programming languages and database querying languages in a large-scale environment
- Working knowledge of the Software Development Life Cycle
- Understanding of agile methodologies and practices, including CI/CD, application resiliency, and security
- Demonstrated knowledge of software applications and technical processes within a technical discipline such as cloud, artificial intelligence, machine learning, or data engineering
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations
Preferred Qualifications, Capabilities, and Skills:
- Familiarity with machine learning frameworks and tools used in model development and deployment pipelines
- Exposure to cloud-based infrastructure and data services
- Knowledge of traditional machine learning and large language model serving in production environments
- Familiarity with modern front-end technologies or data visualization tools
Skills Required
- Formal training or certification in software engineering concepts with proficient applied experience
- Proficiency in Python for scalable backend services and data-intensive applications
- Hands-on experience in system design, application development, testing, and operational stability
- Experience developing, debugging, and maintaining production code using modern programming and database querying languages in a large-scale environment
- Working knowledge of the Software Development Life Cycle
- Understanding of agile methodologies, CI/CD, application resiliency, and security
- Knowledge of software applications and technical processes in cloud, artificial intelligence, machine learning, or data engineering
- Hands-on experience using enterprise-authorized AI-assisted software development tools and validating AI-generated outputs
- Understanding of responsible AI use, data sensitivity, secure input and output handling, resiliency, and security expectations
- Familiarity with machine learning frameworks and model development and deployment tools
- Exposure to cloud-based infrastructure and data services
- Knowledge of traditional machine learning and large language model serving in production
- Familiarity with modern front-end technologies or data visualization tools
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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