Lead Infrastructure Engineer - GenAI/AI Automation/AWS

JPMorgan Chase & Co. • Wilmington, DE

6h

About The Position

As a Lead Infrastructure Engineer in JPMorganChase’s Consumer and Community Banking team, you will apply deep knowledge of software, applications, and technical processes within infrastructure engineering while continuing to build technical and cross-functional expertise. You will lead the development and integration of GenAI-powered agents across application and infrastructure lifecycle activities, with a focus on cloud cost optimization, efficiency, and FinOps governance.

The role involves identifying and prioritizing cloud cost opportunities, calculating potential savings, developing and scaling agent-based recommendations, and creating automation runbooks and Policy as Code initiatives. You will guide teams toward cost-effective architecture and operations, communicate FinOps and GenAI capabilities to stakeholders, and own FinOps-specific GenAI applications and processes. You will also lead infrastructure workstreams, advise on technical impacts and mitigations, and use enterprise-authorized AI capabilities in ways that are validated, traceable, secure, resilient, and compliant with data-handling requirements.

Requirements

• Formal training or certification in infrastructure engineering concepts and at least 5 years of 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 across areas such as hardware, networking, databases, storage, deployment, integration, automation, scaling, resilience, and performance assessments.
• Proven experience using 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 a deep understanding of available optimization levers.
• Strong problem-solving skills and ability to execute creative, GenAI-driven solutions to technical challenges.
• Strong communication and collaboration skills, and ability to develop technical and cross-functional knowledge beyond the product domain.
• Strong understanding of the FinOps Foundation Framework, including its capabilities, lifecycle, and domains.
• Proficiency in 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 in infrastructure engineering workflows, with strong validation habits and awareness of data sensitivity.
• Ability to ensure AI-assisted outcomes meet resiliency, security, and auditability expectations.

Nice To Haves

• AWS Engineering or Architect certifications.
• FinOps Practitioner or FinOps Professional certification.
• Experience leading automation projects using GenAI and agentic AI.
• Advanced certifications in infrastructure engineering, cloud technologies, or automation.
• Exceptional verbal and written communication skills.
• Confluence experience.

Responsibilities

• Lead the development and integration of GenAI-powered agents across 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 using 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 powered by GenAI agents to improve cloud cost efficiency and strengthen cost governance.
• Guide end users and development teams in making cost-effective architectural, operational, and performance decisions.
• Communicate FinOps principles and GenAI agent capabilities to stakeholders and leadership, identify waste, and maintain dashboards showcasing cost savings.
• Serve as the primary contact and owner for FinOps-specific GenAI applications and agent processes, ensuring compliance and current documentation.
• Use enterprise-authorized AI capabilities to accelerate infrastructure analysis and design documentation, validating outputs and handling operational data according to sensitivity and security requirements.
• Drive infrastructure engineering workstreams or projects and work across platforms to architect and implement changes that resolve issues and modernize organizational and technology processes.
• Consider upstream and downstream data, systems, and technical implications, and advise on mitigation actions.
• Apply reuse-first, AI-assisted practices in delivery and automation to identify recurring issues and validate remediation options, ensuring changes are traceable, auditable, resilient, and secure.
• Review and validate AI-assisted recommendations before implementation, escalating when uncertain.

Benefits

• Competitive total rewards package, with base salary determined by role, experience, skill set, and location.
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed