Senior Lead Software Engineer AIML & Data Platforms

If you are a software engineering leader ready to take the reins and drive impact weve got an opportunity just for you.

As a Senior Lead Software Engineer at JPMorganChase within the AI/ML & Data Platforms group you lead a technical area and drive impact within teams technologies and projects across departments. Utilize your in-depth knowledge of software applications technical processes and product management to drive multiple complex projects and initiatives while serving as a primary decision maker for your teams and be a driver of innovation and solution delivery.

Job responsibilities

• Leads technology and process implementations to achieve functional technology objectives
• 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
• Makes decisions that influence teams resources budget tactical operations and the execution and implementation of processes and procedures
• Carries governance accountability for coding decisions control obligations and measures of success such as cost of ownership maintainability and portfolio operations
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality delivery speed and operational outcomes (e.g. AI-assisted code review/refactoring test acceleration release readiness incident/root-cause analysis) while establishing measurable validation standards (secure coding peer review automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
• Applies knowledge of tools within the Software Development Life Cycle toolchain including approved AI-assisted development and automation capabilities to improve the value realized by automation at scale.
• Delivers technical solutions that can be leveraged across multiple businesses and domains
• Influences peer leaders and senior stakeholders across the business product and technology teams
• Champions the firms culture of diversity opportunity inclusion and respect

Required qualifications capabilities and skills

• Hands-on practical experience delivering system design application development testing and operational stability
• Experience working at code level
• Formal training or certification onsoftware engineeringconcepts and 10 years applied experience
• Extensive experience in building and running AWS/public cloud based applications
• Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g. for coding code review test acceleration troubleshooting) with the ability to set team expectations for validating AI outputs for correctness performance and security
• Strong understanding of responsible AI use in engineering workflows including data sensitivity considerations secure handling of inputs/outputs and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.
• Experience developing or leading cross-functional teams of technologists
• Experience with hiring developing and recognizing talent