Applied AI Engineer-Vice President

Testing Site - JPMC; Columbus (OH); On-site; USD 170,000 - 260,000; Full time

Job summary

JPMorganChase in Columbus, OH seeks an experienced Applied AI Engineer-Vice President to lead and deliver trusted AI-powered financial tech solutions within Consumer & Community Banking Machine Learning. You will guide secure, scalable production code, mentor teams, and shape ML strategy across the SDLC.

The role emphasizes real-time predictions, big data analytics, and cutting-edge ML architectures, with strong collaboration to executive leadership and cross-functional partners.

Qualifications

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

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

Skills

Java

Python

JavaScript

Distributed systems

Cloud platforms

ML Ops

Terraform

CI/CD

Real-time processing

Big data

LangChain

LangGraph

AutoGen

API integration

Jenkins

Education

Bachelor's degree in Computer Science or related

Tools

Jenkins

GitLab CI/CD

OpenSearch

Terraform

Job description

As Applied AI Engineer-Vice President 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, 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