Applied AI Engineer-Vice President jobs in United States
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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

Applied AI experienceSoftware development frameworksCloud platformsMachine learning frameworksEngineering programming languagesInfrastructure as codeAI Agents developmentSoftware development pipelineBig data processingReal-time processingCertificationsCommunication skills

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 provides broad range of financial services. It is a sub-organization of JP Morgan Chase.

Funding

Current Stage
Late Stage

Leadership Team

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Mike McDonnell
Managing Director, Head of Chase Travel Platform Product
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Nicole Sanchez
Managing Director, Consumer Bank, GM and Product Executive, Growth Financial Products
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Company data provided by crunchbase