AI Senior Lead Infrastructure Engineer

JPMorgan Chase & Co.; Kentucky; On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. seeks a Senior Lead Infrastructure Engineer to influence the Infrastructure Platform Data & Specialty Services team.

The role spans deep domain knowledge in software, applications, and infrastructure processes, with a focus on driving programs across multiple technologies and applications. The candidate excels in cloud and on-premises environments, architectural design, and AI-assisted operations, delivering secure, auditable, and scalable solutions.

Qualifications

• Formal training or certification in infrastructure engineering concepts.
• Demonstrated experience in infrastructure engineering across hardware, networking, databases, storage, deployment, automation, scaling, resilience or performance assessments.
• Experience using enterprise-authorized AI capabilities to support infrastructure workflows with validation and data sensitivity awareness.
• Ability to review and validate AI-assisted recommendations before implementation for resiliency, security and auditability.

Responsibilities

• Applies deep technical expertise to analyze complex data and systems and advise on mitigation actions.
• Uses AI capabilities to accelerate infrastructure analysis and document mitigation options with proper validation.
• Architects and implements changes with other platforms to modernize technology processes.
• Drives multiple complex programs and thought leadership within the product line.
• Ensures infrastructure work aligns with compliance, risk, security, and business objectives.
• Leads AI-assisted practices adoption to reduce recurring issues and ensure traceability and auditable changes.
• Architects, builds, and maintains agentic AI solutions for automating infrastructure tasks.
• Contributes to tooling strategy and vendor evaluations for Mainframe/Midrange automation.
• Partners with operations, SRE, risk and control functions to ensure safe AI implementation.

Skills

Infrastructure engineering

AI in infra

Cloud infrastructure

Distributed systems

CI/CD

Observability

Mentoring engineers

Risk & controls

Education

Formal training or certification in infrastructure engineering

Job description

Become a member of a team where you can contribute significantly to shaping the future of a world-renowned and influential company. Among top performers, you can make a direct and meaningful impact.

As a Senior Lead Infrastructure Engineer at JPMorganChase within the Infrastructure Platform Data & Specialty Services team, you exhibit both depth and breadth of knowledge regarding software, applications, and technical processes across multiple technical disciplines. You also have a specialization in a specific domain within infrastructure engineering to drive programs or initiatives consisting of multiple technologies and applications.

Job responsibilities

• Applies deep technical expertise and problem-solving methodologies focused on analyzing complex data and systems, anticipating issues, considering upstream and downstream implications, and advising on mitigation actions
• Uses enterprise-authorized AI capabilities within the work environment to accelerate analysis of complex infrastructure signals and documentation of mitigation options, validating outputs and handling operational data according to sensitivity and security requirements.
• Works with other platforms to architect and implement changes required to resolve issues and modernize the organization and technology processes
• Drives results and implements multiple complex programs
• Drives thought leadership within the product line
• Responsible for infrastructure engineering in accordance with business requirements and executes work according to compliance standards, risk and security, and business objectives
• Leads reuse-first adoption of AI-assisted practices across delivery and automation routines to reduce recurring issues, ensuring changes are validated, traceable and auditable, and aligned to resiliency and security expectations
• Architect, build, and maintain agentic AI solutions that automate manual or repetitive infrastructure management tasks, ensuring solutions are secure, auditable, and production-grade
• Contribute to tooling strategy and vendor/product evaluations by prototyping, performing technical due diligence, and recommending fit-for-purpose approaches for Mainframe/Midrange automation
• Partner with operations, SRE, architecture, risk, and control functions to ensure AI capabilities are implemented safely, transparently, and in alignment with JPMorgan Chase policies and regulatory expectations
• Mentor engineers through pairing, code/design reviews, and technical coaching; help build sustainable technical leadership depth within the organization

Required qualifications, capabilities, and skills

• Formal training or certification on infrastructure engineering concepts and 5+ years applied experience
• Knowledge of one or more areas of infrastructure engineering such as: hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience or performance assessments
• 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.
• Adept in specific infrastructure technology and programming languages
• Deep knowledge of cloud infrastructure and multiple cloud technologies (ability to operate in and migrate across public and private clouds)
• Experience designing and delivering production solutions with strong non-functional requirements (resiliency, scalability, performance, security, and operational excellence).
• Working knowledge of risk and control considerations in enterprise technology (e.g., SDLC controls, change management, access controls, auditability, data handling).
• Proven ability to lead technical delivery in a matrixed organization: influencing partners, unblocking execution, and driving outcomes across multiple teams/functions.
• Strong engineering fundamentals: API/service design, distributed systems concepts, data modeling, testing strategy, CI/CD, and observability (logs/metrics/traces).
• Experience mentoring and guiding other engineers via code reviews, design reviews, and technical feedback

Preferred qualifications, capabilities, and skills

• Knowledge of Mainframe and Midrange automation, operational tooling, and platform management practices
• Exposure to agentic AI patterns and controls (human-in-the-loop design, guardrails, prompt/tool governance, evaluation/monitoring) in production contexts
• Track record partnering with SRE and operations teams on reliability engineering and operational efficiency improvements (e.g., toil reduction, incident automation, runbook modernization)
• Experience building integrations across heterogeneous infrastructure ecosystems (e.g., job schedulers, monitoring/alerting, ticketing workflows, configuration systems)
• Experience in financial services or similarly regulated industries, with understanding of governance, controls, and audit expectations