Lead Applied AI Engineer

As a Senior Lead Applied AI Engineer at JPMorganChase within the Consumer & Community Banking Machine Learning, 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.

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


* Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors


* Develops secure and high-quality production code, and reviews and debugs code written by others


* Drives decisions that influence the product design, application functionality, and technical operations and processes


* Serves as a function-wide subject matter expert in one or more areas of focus


* Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle


* Influences peers and project decision-makers to consider the use and application of leading-edge technologies


* Drive innovation in machine learning solutions, ensuring scalability, flexibility, and future-proof architecture


* Act as a thought leader and trusted advisor to executive leadership, providing strategic recommendations on machine learning initiatives and solutions


* Architect and oversee the development of next-generation machine learning models and systems leveraging cutting-edge technologies


* Ensure the platform supports complex use cases, including real-time predictions, big data processing, and advanced analytics


* Promote software and model quality, integrity, and security across the organization

Required qualifications, capabilities, and skills


* Formal training or certification on software engineering concepts and 5+ years applied AI experience


* Proven track record of building and scaling software and or machine learning platforms in high-growth or enterprise environments


* 10 plus years of hands-on experience and expertise in software development frameworks and tools such as Java, Python and JavaScript


* Deep understanding of distributed systems, cloud-native architectures, and modern machine learning technologies


* Experience in cloud platforms such as AWS, GCP, or Azure


* Knowledgeable in machine learning frameworks, ML Ops tools and practices


* Strong proficiency in engineering programming languages (e.g., Python, Java) and infrastructure as code (e.g., Terraform, CloudFormation)


* Proficient in building AI Agents (e.g., LangChain, LangGraph, AutoGen), integration of tools (e.g., API) and RAG based solutions (e.g., open search)


* Hands-on experience with software development pipeline and orchestration tools (e.g., Jenkins, Gi...