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 framework developer at JPMorgan Chase within the Digital organization, you will be responsible for developing concepts, patterns, APIs and roadmaps for the JPMorgan Chase mobile framework.
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
- Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Leads 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 systems and information architecture
- Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
- Adds to team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experience
with 3+ years focused on AI/ML systems and at least 2 years in a technical lead, staff, or principal-level individual contributor role.
- Deep hands-on experience building agentic AI systems, including multi-agent orchestration, tool-use chains, planning/reasoning loops, and memory architectures.
- Strong foundation in distributed systems, API design, microservices, and event-driven architectures
- Experience with cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and CI/CD pipelines for ML/AI workloads.
- Expert in Java, Cockroach db, postgres sql, Casandra, Kafka, Spring, Spring Boot, Cloud foundry.
Deep understanding of REST & SOAP Protocols.
- Understanding of software skills such as business analysis, development, maintenance, and software improvement
Pragmatism and the ability to strike the balance between the need for process versus the need to accelerate project delivery and not overburden teams with unnecessary administrative overhead is key.
- Additionally the candidate should be taking the ownership to drive business goal and leading from front. Knowledge of industry-wide technology trends and best practices
Preferred qualifications, capabilities, and skills
- LLM Proficiency: Strong working knowledge of large language models (GPT-4+, Claude, Gemini, Llama, Mistral) including prompt engineering, fine-tuning, and evaluation methodologies.
- Advantage of having AI, Cloud Certifications
