Chase · 1 month ago
Applied AI Engineer-Vice President
Chase is a leading financial services firm, and they are seeking a Senior Lead Applied AI Engineer to enhance and deliver technology products within the Consumer & Community Banking Machine Learning team. The role involves driving significant business impact through technical expertise, guiding teams, and innovating machine learning solutions.
BankingFinancial Services
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
Qualification
Required
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, 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
Certified as AWS Solutions Architect, Certified Developer, or similar certification
Company
Chase
Chase provides broad range of financial services. It is a sub-organization of JP Morgan Chase.
Funding
Current Stage
Late StageLeadership Team
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