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