Lead Infrastructure Engineer, GenAI AI Automation AWS

JPMorgan Chase

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Wilmington, DE
Employment
Full-time
Posted
3 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $195k
$140k most similar roles pay here $246k

This listing doesn't post a salary. Most similar roles pay $154,500–$236,128.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

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At a glance

TL;DR · Lead Infrastructure Engineer, GenAI AI Automation AWS

As a Lead Infrastructure Engineer – GenAI/AI Automation/AWS within the Consumer and Community Banking team, you will drive infrastructure excellence by integrating GenAI-powered agents into the application and infrastructure lifecycle to automate cost optimization and efficiency improvements. You will identify cloud cost opportunities using GenAI models, develop automation runbooks, and implement Policy as Code initiatives to strengthen Cost Governance. Your daily work involves architecting scalable solutions, communicating FinOps principles to stakeholders, and managing specialized GenAI applications while ensuring all outputs meet security and auditability standards. The role requires expertise in AWS services for traditional compute, containerization, and serverless architectures, alongside proficiency in modern scripting languages and infrastructure as code. You will leverage agentic AI to automate software delivery and manage complex technical processes involving networking, databases, storage, and performance assessments within a cloud environment.

What you'll do

  • Develop and integrate GenAI-powered agents into the application and infrastructure lifecycle to automate cost optimization.
  • Identify and prioritize cloud cost optimization opportunities using GenAI models and data analysis tools.
  • Architect and develop automation runbooks and Policy as Code initiatives to strengthen Cost Governance.
  • Advise development teams on adopting cost-effective architectural, operational, and performance decisions.
  • Communicate FinOps principles and GenAI capabilities to stakeholders while maintaining cost-saving dashboards.
  • Serve as the primary owner for FinOps-specific GenAI applications and related documentation.
  • Utilize enterprise-authorized AI tools to accelerate infrastructure analysis and design documentation.
  • Implement AI-assisted practices in automation routines to ensure changes are traceable, auditable, and secure.

What we're looking for

  • Formal training or certification on infrastructure engineering concepts and 5+ years of applied experience.
  • Strong understanding of cloud infrastructure, multiple cloud technologies, and public cloud cost management tools.
  • Technical depth in hardware, networking, databases, storage, deployment, integration, automation, scaling, resilience, and performance assessments.
  • Proven experience leveraging GenAI and agentic AI to automate enterprise software delivery and cost optimization solutions.
  • Hands-on experience implementing FinOps and GenAI agents to optimize AWS cloud costs.
  • Proficiency in coding with modern scripting languages and infrastructure as code practices.
  • Advanced understanding of AWS services for Traditional Compute, Containerization, and Serverless architectures.
  • AWS Engineering or Architect certifications (preferred); FinOps Practitioner or Professional certifications (preferred).

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