Lead Software Engineer Agentic AI, JavaPython

We have an opportunity to impact your career and provide an adventure where you can push the limits of whats possible.

As a Lead Software Engineer at JPMorganChase within the Commercial and Investment Banks Engineering and Architecture Team youare 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. As a core technical contributor you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firms business objectives.

Job responsibilities

• Executes creative software solutions design development and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems

• Develops secure high-quality production code and reviews and debugs code written by others
• Lead a local team of software engineers and applied AI/ML practitioners driving accountability and engagement within a global organization.
• Mentor and guide team members fostering an inclusive culture with a growth mindset and supporting career development.
• Collaborate with product and business teams to set technical vision and execute strategic roadmaps for AI-driven software solutions.
• Translate business requirements into robust software and AI/ML specifications define milestones and ensure timely delivery using Agile methodologies.
• Architect design and develop secure high-quality production software systems using Java or Python integrating AI/ML techniques such as LLMs Generative AI and coding assistants.
• Review debug and optimize code written by others ensuring operational stability and scalability.
• Identify opportunities to automate and remediate recurring issues improving overall system reliability.
• Design experiments implement algorithms validate results and productionize performant scalable and trustworthy AI/ML solutions.

• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems

Required qualifications capabilities and skills

• Formal training or certification in software engineering concepts and 5 years applied experience
• Familiarity with agentic workflows and frameworks (e.g. LangChain LangGraph Auto-GPT)
• Advanced proficiency in Java or Python for software system development; strong grasp of software engineering best practices system design application development testing and operational stability
• Experience integrating AI/ML techniques into software systems including familiarity with LLMs Generative AI NLP RAG AI evals and coding assistants
• Managing and mentoring software engineering or AI/ML teams with experience as a hands-on practitioner delivering production-grade solutions
• Good understanding of data structures algorithms and practical machine learning frameworks (e.g. TensorFlow PyTorch Scikit-Learn)
• Proficiency in automation continuous delivery (CI/CD) and cloud-native development (preferably AWS)

• Hands-on practical experience delivering system design application development testing and operational stability

• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD Application Resiliency and Security

• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g. cloud artificial intelligence machine learning mobile etc.)

• Experience working at code level with advanced AI/ML business applications (e.g. LLMs Generative AI NLP)
• AWS Certifications (Solution Architect Associate or Professional) are advantageous
• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience