Applied AI Engineer-Associate

As Applied AI Engineer-Associate at JPMorgan

Chase 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.

• 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 firm‑wide 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

• Formal training or certification on software engineering concepts and 1+ years applied AI experience
• Proven track record of building and scaling software and or machine learning platforms in high‑growth or enterprise environments
• 5 plus years of hands‑on experience and expertise in software development frameworks and tools such as Java, Python and Java Script
• 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, Cloud Formation)
• Proficient in building AI Agents (e.g., Lang Chain, Lang Graph, Auto Gen), 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, Git Lab CI/CD)
• Exceptional ability to communicate complex technical concepts to both technical and non‑technical audiences
• Hands‑on experience with big data, pipeline, orchestration tools and real‑time processing frameworks

• Certified as AWS Solutions Architect, Certified Developer, or similar certification