JPMC Candidate Experience page Full Stack Senior Lead Software Engineer: Job Overview, Location, and Employment Details

The job title is Full Stack Senior Lead Software Engineer. This role is situated within JPMorgan Chase’s Corporate Technology division.

This position is located in Jersey City, New Jersey. It is a full-time role that is part of an agile team.

The main responsibilities include developing and implementing generative AI solutions that meet both technical and business requirements. Additionally, you will lead the creation of proofs of concept to explore and validate new AI approaches.

A Bachelor’s degree in Computer Science, Engineering, or a related field is required, along with at least five years of software engineering experience. Candidates should also have proficiency in Python or Java and experience in building AI models, particularly large language models.

Candidates must have hands-on experience in generative AI development and prompt engineering. Additionally, familiarity with AWS cloud services and Terraform is essential, as well as experience working with LLM models and agentic AI tools.

This position supports a team culture that values diversity, inclusion, and respect. You will also mentor and guide junior engineers in AI development best practices.

You will collaborate with cross-functional teams to refine AI system architectures for scalability and reliability. This collaboration is crucial for ensuring the quality, security, and efficiency of the AI solutions developed.

Candidates should be familiar with agile methodologies, including CI/CD practices, application resiliency, and security practices. This knowledge is important for maintaining operational stability in AI projects.

Documenting technical solutions is a key responsibility in this role, as it helps in sharing knowledge with the team. This practice ensures that all team members are aligned and can reference the work done in AI development.

You will ensure compliance with organizational standards and regulatory requirements in AI projects. This is critical for maintaining the integrity and security of the solutions developed.