We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorganChase within the Commercial and Investment Bank's Engineering and Architecture Team, 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. 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 firm’s 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.)
Preferred qualifications, capabilities, and skills
- 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