Lead Infrastructure Engineer – 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 Agent Engineer
About the job
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.
Responsibilities
- Lead the development and integration of GenAI-powered agents to automate cost optimization and efficiency improvements across the application and infrastructure lifecycle.
- Discover, analyze, and prioritize cloud cost optimization opportunities using GenAI models and intelligent agents, calculating potential savings.
- 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 strengthen cloud 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 stakeholders, identifying waste and maintaining cost savings dashboards.
- Serve as the primary contact and owner for FinOps-specific GenAI applications and agent processes, ensuring compliance and documentation.
- Utilize enterprise-authorized AI capabilities to accelerate infrastructure analysis and design documentation, validating outputs and handling operational data securely.
- Drive workstreams or projects involving infrastructure engineering technologies, collaborating with other platforms to resolve issues and modernize processes.
- Consider upstream and downstream data and system implications, advising on mitigation actions.
- Apply reuse-first, AI-assisted practices in delivery and automation to identify recurring issues and validate remediation options, ensuring traceability and alignment to resiliency and security.
Requirements
- Formal training or certification on infrastructure engineering concepts and 5+ 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.
- Proven experience leveraging GenAI and agentic AI for enterprise software delivery and cost optimization solutions.
- Hands-on experience implementing FinOps and GenAI agents to optimize AWS cloud costs.
- Excellent problem-solving skills and ability to execute creative, GenAI-driven solutions.
- Strong communication and collaboration skills, with a demonstrated ability to develop cross-functional knowledge.
- 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 for 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.