Lead Infrastructure Engineer - GenAI/AI Automation/AWS
JPMorgan Chase2 days ago
Responsibilities
- Lead development and integration of GenAI-powered agents across application and infrastructure lifecycles.
- Identify, analyze, prioritize, and quantify AWS cloud cost optimization opportunities using GenAI models, intelligent agents, data repositories, reporting, and ETL tools.
- Design and scale GenAI agent-based cost optimization recommendations and best practices.
- Architect automation runbooks and Policy as Code initiatives to improve cloud cost efficiency and Cost Governance.
- Guide end users and development teams on cost-effective architectural, operational, and performance decisions.
- Communicate FinOps principles and GenAI agent capabilities to stakeholders and leadership while maintaining cost-savings dashboards.
- Own FinOps-specific GenAI applications and agent processes, including compliance and documentation.
- Drive infrastructure engineering workstreams, modernize technology processes, and advise on upstream and downstream technical implications.
- Validate AI-assisted recommendations and ensure changes meet resiliency, security, traceability, auditability, and data-sensitivity expectations.
Requirements
- Formal training or certification in infrastructure engineering concepts and 5+ years of applied experience.
- Strong understanding of cloud infrastructure, multiple cloud technologies, and public cloud cost management and optimization tools.
- Technical depth across infrastructure engineering, including hardware, networking, databases, storage, deployment, integration, automation, scaling, resilience, and performance assessment.
- Proven experience using GenAI and agentic AI to automate enterprise software delivery and cost optimization solutions.
- Hands-on AWS FinOps and GenAI agent experience with a deep understanding of cloud cost optimization levers.
- Strong understanding of the FinOps Foundation Framework, including its capabilities, lifecycle, and domains.
- Proficiency with modern scripting languages and infrastructure as code practices.
- Advanced understanding of AWS services for traditional compute, containerization, and serverless architectures.
- Ability to use, review, and validate enterprise-authorized AI capabilities while handling sensitive data appropriately.
- AWS Engineering or Architect certification, FinOps Practitioner or FinOps Professional certification, or advanced infrastructure, cloud, or automation certifications is preferred.
- Experience leading automation projects using GenAI and agentic AI is preferred.
- Strong problem-solving, communication, collaboration, and technical cross-functional skills.
Benefits
- Competitive total rewards and benefits package including comprehensive health care coverage, on-site health and wellness centers, retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching, and other eligibility-based programs; compensation and benefits details are provided during the hiring process.
About JPMorgan Chase
JPMorgan Chase provides consumer and commercial banking, payments, credit card, wealth management, and corporate and investment banking services to individuals, businesses, institutions, and governments. The public company (NYSE: JPM) earns revenue from interest, fees, trading, and asset management across operations in more than 100 markets. Headquartered in New York City with roots dating to 1799, it serves retail customers and prominent corporate and government clients through brands including Chase and J.P. Morgan.