Join JPMorgan Chase as an Associate Engineer and help shape the next generation of banking technology. Work with talented teams, leverage advanced AI, and make a real impact on millions of customers.
As a Software Engineer III at JPMorgan Chase within an agile team, you will be an integral part of designing, building, and delivering trusted, market-leading technology products. You will apply your technical expertise and problem-solving skills to architect and implement scalable, secure, and high-quality machine learning solutions that drive business value.
Job Responsibilities
- Provide technical guidance and direction to business units, engineering teams, contractors, and vendors.
- Serve as a subject matter expert in one or more areas of AI and machine learning.
- Advise executive leadership with strategic recommendations on machine learning initiatives.
- Develop secure, high-quality production code and review code written by others to ensure best practices.
- Promote software and model quality, integrity, and security across the organization.
- Influence product design, application functionality, and technical operations through informed decision-making.
- Architect and oversee the development of advanced machine learning models and systems.
- Ensure platforms support complex use cases, including real-time predictions, big data processing, and advanced analytics.
- Drive innovation in machine learning solutions, focusing on scalability, flexibility, and future-proof architecture.
- Advocate for and contribute to firmwide frameworks, tools, and Software Development Life Cycle (SDLC) practices.
- Engage with the engineering community to promote best practices and continuous improvement.
Required Qualifications, Capabilities, and Skills
- Formal training or certification in software engineering concepts with 3+ years of applied experience.
- Proven experience in Python, SDLC, Microservices, Devops, CI/CD, Junit, Kfka, AWS Cloud (Lamnda, ECs, Gluw, SQS etc.), Fullstack
- Proven experience in technical leadership and providing guidance to engineering teams.
- Strong expertise in developing, reviewing, and debugging secure, high-quality production code.
- Deep knowledge of machine learning, big data processing, and advanced analytics.
- Experience architecting scalable and flexible machine learning platforms.
- Demonstrated ability to drive innovation and influence technology adoption.
- Excellent communication skills, with the ability to advise executive leadership.
Preferred Qualifications, Capabilities, and Skills
- Experience in the financial services industry, especially in consumer and community banking.
- Familiarity with firmwide frameworks, tools, and SDLC best practices.
- Track record of contributing to the engineering community and promoting best practices.
- Good to have experience in RAG, AI/Agents, NLU/NLP, LLM
