Lead Software Engineer - Python / AI

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 JPMorgan Chase within the Consumer & Community Banking - Technology 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
• 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, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years of applied experience
• Proficiency in Java and Python, with experience in AI-related libraries (e.g., TensorFlow, PyTorch).
• Experience with OCR, Voice to Text, and Agent to Agent technologies.
• Strong understanding of agile methodologies, CI/CD, and Application Resiliency.
• Experience in building high-performance enterprise applications using Spring, FastAPI, and Kafka.
• Proficiency in SQL and database development, with experience in NoSQL databases (e.g., MongoDB, Cassandra).
• Experience with RAG (Retrieval-Augmented Generation) and Vector databases.
• Familiarity with the latest LLMs such as GPT, LLAMA, BERT, T5, and their application in AI solutions.
• Strong problem-solving skills and the ability to think creatively.
• Excellent communication and collaboration skills.
   

• Experience with AWS services such as EC2, S3, and Lambda.
• Knowledge of AWS security best practices.
• Familiarity with home lending products and financial services.