Applied AI Engineer-Sr. Associate

Description

As a Senior Applied AI ML 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
• 5 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 GitLab 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

Preferred qualifications capabilities and skills

• Certified as AWS Solutions Architect Certified Developer or similar certification

Required Experience:

Senior IC