Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorgan Chase within the CTO, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities:

Execute creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build scalable AI agentic frameworks.Develop secure, high-quality production code, and review and debug code written by others, focusing on implementing scalable AI solutions.Set up and manage POCs to evaluate the feasibility and impact of new AI technologies and methodologies, ensuring alignment with business goals and technical requirements.Drive the adoption of best practices in software development and AI integration, ensuring high standards of quality, security, and efficiency are maintained across all AI projects.Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of AI applications and systems.Lead evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing AI systems and information architecture.Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge AI technologies.Add to team culture of diversity, equity, inclusion, and respect, fostering an environment conducive to innovative AI development.

Required qualifications, capabilities, and skills:

Formal training or certification in software engineering concepts with 5+ years of applied experience.Hands-on practical experience delivering system design, application development, testing, and operational stability in AI projects.Advanced in one or more programming languages such as Java, Python, with a focus on AI applications.Experience in Generative AI, with a proven track record of implementing scalable AI frameworks.Advanced knowledge of software application development and technical processes with considerable in-depth knowledge in AI disciplines (e.g., cloud, artificial intelligence, machine learning, etc.).Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, applied to AI projects.Demonstrated proficiency in software applications and technical processes within AI technical disciplines (e.g., cloud, artificial intelligence, machine learning, etc.).Experience in building enterprise AI applications with high availability and performance using Java, Python, Spring, Kafka, Elastic Search, Distributed Cache.Understanding of machine learning principles, especially in natural language processing (NLP) and deep learning, to effectively work with LLMs.Preferred qualifications, capabilities, and skills:Experience working at code level, particularly in AI frameworks.A keen interest in staying ahead of modern development trends and experimenting with emerging AI technologies such as AI and Machine Learning.