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Applied AI Engineer-Vice President

LinkedIn JPMorganChase Columbus, OH
Mid-Senior level Posted April 2, 2026 Job link
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Requirements
  • 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 Skills
  • Hands-on experience with big data, pipeline, orchestration tools and real-time processing frameworks
  • Certified as AWS Solutions Architect, Certified Developer, or similar certification
  • Morgan and Chase brands.
Education
  • (Not required) – Certified as AWS Solutions Architect, Certified Developer, or similar certification