JPMorganChase is looking to design and deliver trusted market-leading technology products in a secure, stable, and scalable way to support the firm’s business objectives.
Requirements
- 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.
- Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
- 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, as well as Agentic AI development.
- Experience with LLM fine-tuning.
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.
- Fosters a team culture of diversity, opportunity, inclusion, and respect.
Other
- Formal training or certification on software engineering concepts and 3+ years applied experience.
- Fosters a team culture of diversity, opportunity, inclusion, and respect.
- Collaborating with cross-functional teams to integrate generative AI solutions into broader business processes and applications.
- Skill in collaborating with cross-functional teams to integrate generative AI solutions into broader business processes and applications.
- Comprehension of machine learning algorithms and techniques, including supervised, unsupervised, and reinforcement learning.
