Infrastructure Engineer III – GenAI/AI Automation/AWS
Salary not listed • Wilmington, DE, United States • Full-time
Posted 28d ago
No salary is listed. Many US states require employers to post a pay range, so ask about pay early.
Remote Work Policy
On-site
Employment Type
Full-time
Categories
AI Engineer
About the job
As an Infrastructure Engineer III - GenAI/AI Automation/AWS at JPMorganChase, you will play a pivotal role within the Consumer and Community Banking team. You will leverage your strong knowledge of software, applications, and technical processes within infrastructure engineering to solve complex problems across multiple applications. This role focuses on improving data and systems running at scale, ensuring end-to-end monitoring, and driving the daily activities supporting standard capacity processes. You will collaborate with teams to design, implement, and scale GenAI agent-based cost optimization recommendations and best practices, while utilizing enterprise-authorized AI capabilities to accelerate monitoring and capacity analysis.
Responsibilities
- Apply technical knowledge and problem-solving methodologies to projects focused on improving data and systems at scale, ensuring end-to-end monitoring of applications.
- Discover, analyze, and prioritize cloud cost optimization opportunities using GenAI models and intelligent agents, calculating potential savings and benefits.
- Collaborate with teams to design, implement, and scale GenAI agent-based cost optimization recommendations and best practices.
- Use enterprise-authorized AI capabilities to accelerate monitoring and capacity analysis, validating outputs and handling operational data securely.
- Resolve technical nuances and determine appropriate escalation paths.
- Execute conventional approaches to build or break down technical problems, considering upstream and downstream implications.
- Drive daily activities supporting standard capacity process applications and partner with teams to identify potential capacity risks and govern remediation statuses.
- Make significant decisions for projects involving multiple technologies and applications.
- Apply AI-assisted approaches to identify recurring capacity risks and improve remediation workflows, ensuring validation and alignment to resiliency and security expectations.
Requirements
- Formal training or certification on infrastructure engineering concepts and 3+ years of applied experience.
- Strong understanding of cloud infrastructure and multiple cloud technologies, with experience in public cloud cost management and optimization tools.
- Infrastructure engineering technical depth including 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, including AI automation.
- Demonstrated experience using enterprise-authorized AI capabilities to support infrastructure engineering workflows with strong validation habits and data sensitivity awareness.
- Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring alignment to resiliency, security, and auditability expectations.
- Excellent problem-solving skills and ability to execute creative, GenAI-driven solutions for technical challenges.
- Strong understanding of the FinOps Foundation Framework, capabilities, lifecycle, and domains.
- Advanced understanding of AWS services for Traditional Compute, Containerization, and Serverless architectures.
- Strong knowledge of one or more scripting languages.
- Experience with multiple cloud technologies, including the ability to operate in and migrate across public and private clouds.