JPMorgan Chase logo

Lead Infrastructure Engineer – GenAI/AI Automation/AWS

Posted about 17 hours ago

OfficeWilmington, DE, United StatesSE
Assume a vital position as a key member of a high-performing team that delivers infrastructure and performance excellence. Your role will be instrumental in shaping the future at one of the world's largest and most influential companies. 

As a Lead Infrastructure Engineer - GenAI/AI Automation/AWS at JPMorganChase within the Consumer and Community Banking team, you apply deep knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Continue to evolve your technical and cross-functional knowledge outside of your aligned domain of expertise. 

Job responsibilities
  • Lead the development and integration of GenAI-powered agents into all phases of the application and infrastructure lifecycle to automate cost optimization and efficiency improvements 
  • Discover, analyze, and prioritize cloud cost optimization opportunities using GenAI models and intelligent agents; calculate potential savings and benefits leveraging data repositories, reporting, and ETL tools 
  • Collaborate with teams to design, implement, and scale GenAI agent-based cost optimization recommendations and best practices.
  • Architect and develop automation runbooks and Policy as Code initiatives to drive cloud cost efficiencies powered by GenAI agents to strengthen Cost Governance.
  • Guide end users and development teams in adopting cost-effective architectural, operational, and performance decisions.
  • Communicate FinOps principles and GenAI agent capabilities to key stakeholders and leadership, identifying waste and maintaining dashboards that showcase cost savings 
  • Serve as the primary contact and owner for FinOps-specific GenAI applications and agent processes, ensuring compliance and up-to-date documentation (Confluence experience an advantage).
  • Uses enterprise-authorized AI capabilities within the work environment to accelerate infrastructure analysis and design documentation, validating outputs and handling operational data according to sensitivity and security requirements.
  • Drives a workstream or project consisting of one or more infrastructure engineering technologies and works with other platforms to architect and implement changes required to resolve issues and modernize the organization and technology processes
  • Strongly considers upstream and downstream data and systems or technical implications and advises on mitigation actions
  • Applies reuse-first, AI-assisted practices within delivery and automation routines to identify recurring issues and validate remediation options, ensuring changes are traceable/auditable and aligned to resiliency and security expectations.
 
Required qualifications, capabilities, and skills
  • Formal training or certification on infrastructure engineering concepts and 5+ years applied experience 
  • Strong understanding of cloud infrastructure and multiple cloud technologies with experience using public cloud cost management and optimization tools.
  • Infrastructure engineering technical depth such as hardware, networking, databases, storage, deployment, integration, automation, scaling, resilience, and performance assessments.
  • Proven experience leveraging GenAI and agentic AI to automate and develop enterprise software delivery and cost optimization solutions 
  • Hands-on experience implementing FinOps and GenAI agents to optimize AWS cloud costs, with deep understanding of levers available to optimize.
  • Excellent problem-solving skills and ability to execute creative, GenAI-driven solutions for technical challenges.
  • Strong communication and collaboration skills and a demonstrated ability to develop technical and cross-functional knowledge outside of the product domain.
  • Strong understanding of the FinOps Foundation Framework, capabilities, lifecycle, and domains; Proficient in coding with modern scripting languages and infrastructure as code practices.
  • Advanced understanding of AWS services for Traditional Compute, Containerization, and Serverless architectures.
  • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation habits and awareness of data sensitivity.
  • Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations.
 
 
 Preferred qualifications, capabilities, and skills
  • AWS Engineering or Architect certifications 
  • Certifications such as FinOps Practitioner or FinOps Professional.
  • Experience leading automation projects using GenAI and agentic AI.
  • Advanced certifications in infrastructure engineering, cloud technologies, or automation.
  • Exceptional verbal and written communication skills.
JPMorgan Chase logo
JPMorgan Chase
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With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. We serve millions of customers and many of the world’s most prominent corporate, institutional, and government clients daily, managing assets and investments, offering business advice and strategies, and providing innovative banking solutions and services. Social Media Terms and Conditions: https://bit.ly/JPMCSocialTerms JPMorgan Chase & Co. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Employees
237576
Industry
Financial Services
Headquarters
New York, NY
Company location
270 Park Avenue, New York, NY 10017-2014, US
Specialties
Consumer & Community Banking, Corporate and Investment Bank, Asset Management, Private Banking, and Commercial Banking
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