Join us to make a real impact by building market-leading AI solutions for software, cybersecurity, and technology infrastructure. You’ll collaborate with talented engineers and scientists, working on projects that drive business growth and innovation. We offer a dynamic environment where your ideas matter and your skills help shape the future. At our team, you’ll find opportunities for career growth, learning, and making a difference. Be part of a culture that values diversity, equity, and inclusion.

As an Senior Lead AI Software Engineer at JPMorgan Chase within the Data Science team under Global Technology CDAO, you will design, develop, deploy, and maintain AI products that support our clients and business priorities. You will work closely with data engineers, research scientists, and other software professionals to deliver secure, stable, and scalable technology solutions. Your contributions will help drive long-term projects and support the growth of our businesses. You will be a valued member of an agile team, focused on delivering trusted AI technology in a collaborative and inclusive environment.

Job Responsibilities:

Collaborate with data scientists and machine learning engineers to deliver products to productionBuild and maintain data pipelines for analytics, model evaluation, and training, ensuring versioning, compliance, and validationExecute creative software solutions, design, development, and technical troubleshootingCreate secure and high-quality production code, review and debug code written by others, and maintain algorithmsIdentify hidden problems and patterns in data to drive improvements in coding hygiene and system architectureProvide technical guidance and direction to support business and technical teamsContribute to a team culture of diversity, opportunity, inclusion, and respect

Required Qualifications, Capabilities, and Skills:

Proficiency in multiple modern programming languages, including Python, Golang, and TypeScriptExperience with GPT, LLM, RAG, Gen AI, and prompt engineering technologiesBackground in developing, debugging, and maintaining code in a large corporate environmentFamiliarity with agile methodologies such as CI/CD, application resiliency, and securitySolid understanding of software applications and technical processes within related technical disciplinesAbility to create complex and scalable coding solutions using appropriate software design frameworks

Preferred Qualifications, Capabilities, and Skills:

Experience working in cross-functional teamsStrong communication and collaboration skillsFamiliarity with cloud platforms and deployment strategiesKnowledge of cybersecurity best practicesExperience with data pipeline orchestration toolsExposure to large-scale machine learning systemsInterest in continuous learning and professional development