JPMorgan Chase is looking to promote the progress and application of state-of-the-art AI technologies, specifically generative AI, to enhance business objectives.
Requirements
- Minimum 5+ years of strong proficiency in Java or Python, with the ability to architect and build complex AI models from scratch.
- One year of experience in generative AI development and prompt engineering.
- Proven experience in system design, application development, testing, and operational stability in AI projects.
- Minimum of 3+ years of strong experience with React or Angular.
- 2+ years of AWS experience is a must-have.
- Experience with LLM models and agentic tools.
- Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, applied to AI projects.
Responsibilities
- Contribute to the development and implementation of generative AI solutions, ensuring they meet technical requirements and business objectives.
- Demonstrate deep expertise in generative AI technologies, actively participating in the development of proofs of concept (POCs) and exploring new methodologies to enhance AI capabilities.
- Exhibit strong proficiency in Java or Python, with the ability to architect and build complex AI models from scratch.
- Utilize experience with React or Angular to create intuitive user interfaces for AI applications.
- Leverage AWS experience to implement best practices in AI integration, ensuring quality, security, and efficiency across AI projects.
- Identify and implement opportunities to automate processes and enhance the operational stability of generative AI applications and systems.
- Work closely with cross-functional teams to contribute to the evaluation and refinement of architectural designs for AI systems, ensuring scalability and robustness.
Other
- Formal training or certification on software engineering concepts and 5+ years applied experience.
- Support a team culture of diversity, equity, inclusion, and respect, fostering an environment conducive to innovative AI development.
- Engage in communities of practice to stay updated on new generative AI technologies, fostering a culture of continuous innovation.
- 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.
