Lead Infrastructure Engineer – GenAI/AI Automation/AWS

JPMorgan Chase

🇺🇸 Wilmington, DE, United States

AI Job Summary

Lead infrastructure engineering efforts to develop GenAI-powered agents for cost optimization and automation across the application and infrastructure lifecycle. This role requires 5+ years of infrastructure engineering experience, deep AWS knowledge, and proven expertise implementing FinOps strategies and agentic AI solutions. You'll architect automation runbooks, design Policy as Code initiatives, and collaborate with cross-functional teams to scale cost optimization recommendations. Work from an office location with AWS, GenAI, and FinOps as core technical requirements.

Written from this posting by Neural Jobs AI. The full description is below.

AI Resume Tailoring Sign in to use this AI Cover Letter Sign in to use this

Job Description

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.

Apply Now

Do you match this job?

Here is what this employer asked for. Sign in and we will fill in your half.

Role Lead Infrastructure Engineer – GenAI/AI Automation/AWS
Experience 5-7 years
Work type On-site
Location United States

Check my match (free)

JPMorgan Chase

Financial Services & Fintech · 500+ Members · New York, NY, United States

JPMorgan Chase is a global financial services firm and one of the largest banks in the United States.

JPMorgan Chase serves consumers, businesses, corporations, governments, and institutions through banking, payments, markets, securities services, and asset and wealth management.

All jobs at JPMorgan Chase

Job Overview

Approx. salary range

197K – 299K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 62 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility

United States Right to work in the United States required.

Workplace

On-site

Job Posted:

1 week ago

Job Type

Full Time

Experience

5-7 years

Lead Infrastructure Engineer – GenAI/AI Automation/AWS

AI Job Summary

Job Description

Approx. salary range

Share This Job:

Related Jobs

AI jobs by city