DescriptionShape the Future of Wealth Management Technology as a Software Engineer III at JPMorgan Chase
Are you ready to make your mark at the intersection of cutting-edge technology and financial services Join our Consumer and Community Banking Wealth Management team as a Software Engineer III where youll design and deliver trusted market-leading solutions that power the future of banking
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 firms business objectives.
Job responsibilities
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
- SLMs LRMs 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.
DescriptionShape the Future of Wealth Management Technology as a Software Engineer III at JPMorgan ChaseAre you ready to make your mark at the intersection of cutting-edge technology and financial services Join our Consumer and Community Banking Wealth Management team as a Software Engineer III whe...
DescriptionShape the Future of Wealth Management Technology as a Software Engineer III at JPMorgan Chase
Are you ready to make your mark at the intersection of cutting-edge technology and financial services Join our Consumer and Community Banking Wealth Management team as a Software Engineer III where youll design and deliver trusted market-leading solutions that power the future of banking
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 firms business objectives.
Job responsibilities
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
- SLMs LRMs 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.
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