We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 
As a Software Engineer III at JPMorgan Chase within the Consumer and Community Banking - Wealth Management, you will be a seasoned member of an agile team, tasked with designing and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. You will be responsible for implementing critical technology solutions across multiple technical domains, supporting various business functions to achieve the firm's business objectives.

Job responsibilities

    • Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
    • Creates secure and high-quality production code, maintaining algorithms that integrate seamlessly with generative AI systems and other appropriate technologies.
    • Produces architecture and design artifacts for complex generative AI applications, ensuring design constraints are met by software code development.
    • Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets to continuously improve generative AI applications and systems.
    • Proactively identifies hidden problems and patterns in data, using these insights to drive improvements in coding hygiene and system architecture specific to generative AI.
    • Contributes to software engineering communities of practice and events that explore new and emerging generative AI technologies.
 

Required qualifications, capabilities, and skills

    • Formal training or certification on software engineering concepts and 3+ years applied experience.
    • Proficient in coding in one or more languages, with a strong emphasis on Python and AI/ML frameworks.
    • Experience in developing, debugging, and maintaining code in a large corporate environment, utilizing modern programming languages and database querying languages.
    • Comprehensive knowledge of the Software Development Life Cycle, with a focus on generative AI applications.
    • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, particularly in the context of AI/ML.
    • Demonstrated knowledge of software applications and technical processes within technical disciplines such as cloud computing, artificial intelligence, machine learning, and mobile technologies.
    • Expertise in AWS and GenAI/ML technologies, Agentic AI Development
    • SLM's, LRM's and Model Finetuning.

Preferred qualifications, capabilities, and skills

    • Experience with AI model optimization and performance tuning to ensure efficient and scalable AI solutions.
    • Familiarity with data engineering practices to support AI model training and deployment.
    • Ability to collaborate with cross-functional teams to integrate generative AI solutions into broader business processes and applications.
    • Strong understanding of machine learning algorithms and techniques, including supervised, unsupervised, and reinforcement learning.
Experience with AI/ML libraries and tools such as TensorFlow, PyTorch, Scikit-learn, and Keras.