Join a team where your advanced engineering skills drive impactful solutions for a global financial leader. Grow your career while shaping the future of data-driven risk assessment.

Job summary

As a Senior Lead Software Engineer at JPMorgan Chase within the Corporate Sector Data Engineering team, you will deliver secure and scalable solutions that support the firm s Global Know Your Customer (KYC) and Risk Assessment Data Platform. You will collaborate with talented colleagues to drive best-in-class outcomes and set engineering standards. Your leadership will help define architecture and practices across multiple teams. Together, we create trusted platforms that power the firm s critical risk management initiatives.

Job responsibilities
Develop secure, high-quality production code for data-intensive applications and platforms, and mentor other engineers
Create durable, reusable software frameworks and patterns leveraged across teams and functions
Design and govern agentic AI systems, including multi-agent workflows, tool-use integrations,



and human-in-the-loop controls for regulated settings
Establish engineering standards for LLM-based applications, ensuring safety, observability, and reproducibility at scale
Drive adoption of advanced technical methods and practices aligned with industry standards and product development methodologies
Advise cross-functional teams on technological matters within your domain of expertise
Apply knowledge of tools within the Software Development Life Cycle toolchain, including AI-assisted development and automation capabilities, to improve automation at scale

Required qualifications, capabilities and skills
Formal training or certification on software engineering concepts and 5+ years applied experience
Hands-on practical experience delivering system design, application development, testing, and operational stability at enterprise scale
Hands-on experience designing and deploying production AI/ML systems,

📌 Sr Lead Software Engineer Hyderabad
🏢 JPMorgan Chase Bank
📍 Hyderabad