Senior Lead Software Engineer - LLM at JPMC Candidate Experience page

Wilmington, Delaware, United States -

Full Time

Start Date

Immediate

Expiry Date

30 Jan, 26

Salary

0.0

Posted On

02 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, System Design, Application Development, Testing, Operational Stability, Python, Microservices, API, LLM, AWS, Automation, Continuous Delivery, Agile Methodologies, Cloud Technologies, Machine Learning, Deep Learning, Neural Networks

Industry

Financial Services

Description

Join JPMorgan Chase as a Senior Lead Software Engineer in AIML Data Platforms Are you ready to be an integral part of an agile team that consistently pushes the boundaries to enhance, build, and deliver top-tier technology products? At JPMorgan Chase, within the Corporate Sector - AIML Data Platforms, we are seeking a Senior Lead Software Engineer who will play a crucial role in driving business impact through technical expertise and innovative problem-solving. As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector - AIML Data Platforms, 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. In this role as a Senior Lead Engineer you will drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. 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 Develops innovative AI/ML solutions and agentic systems for the LLM Suite platform utilizing public cloud architecture and modern standards, specifically with Azure, AWS, and AI Agentic frameworks Develops and implements state-of-the-art GenAI services leveraging Azure OpenAI models and AWS Bedrock service. 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 Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s) including Python (fastAPI), Microservices, API, LLM, and AWS (EC2, ECS, EKS, Lambda, SQS, SNS, RDS Aurora MySQL & Postgres, DynamoDB, EMR, and Kinesis) Proficiency in automation and continuous delivery methods 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.) In-depth knowledge of the financial services industry and their IT systems Expert in cloud native experience Preferred qualifications, capabilities and skills Familiarity with modern front-end technologies Advanced understanding of cloud technologies Background in machine learning, deep learning, and neural networks

Responsibilities

The Senior Lead Software Engineer will execute creative software solutions and develop secure high-quality production code. They will also identify opportunities to improve operational stability and lead evaluation sessions with external vendors and internal teams.