Lead Software Engineer JavaPython, AIML

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 JPMorgan Chase 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

• 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.
• Work closely with cross-functional stakeholders to define goals maintain alignment and drive evaluation of architectural designs and technical solutions.
• Lead evaluation sessions with external vendors startups and internal teams to assess technical credentials and applicability.
• Contribute to and lead communities of practice across Software Engineering and AI/ML driving awareness and adoption of new technologies.

Required qualifications capabilities and skills

• Formal training or certification on software engineering concepts and 5 years applied experience
• Proven track record of managing and mentoring software engineering or AI/ML teams with experience as a hands-on practitioner delivering production-grade solutions.
• 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 and coding assistants.
• 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).
• Strong technical judgment ability to anticipate bottlenecks escalate effectively and balance business needs with technical constraints.
• Excellent communication negotiation and leadership skills; ability to inspire collaboration among technical and non-technical teams.

Preferred qualifications capabilities and skills

• 14 years (BE/B. Tech/BS) 8 years (ME/M. Tech/MS) or 5 years (PhD) of relevant experience in Computer Science Information Systems or related fields.
• 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.
• Familiarity with agentic workflows and frameworks (e.g. LangChain LangGraph Auto-GPT).