AI Senior Lead Infrastructure Engineer

JPMorgan Chase & Co.; Columbus (OH); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. seeks a Senior Lead Infrastructure Engineer to contribute to the Infrastructure Platform Data & Specialty Services team. You will leverage deep expertise across hardware, networking, cloud technologies, and AI-enabled tooling to drive multi-technology programs and modernization efforts.

You will mentor engineers, lead technical delivery in a matrixed setup, and ensure alignment with resiliency, security, and compliance requirements across enterprise platforms.

Qualifications

• Formal training or certification on infrastructure engineering concepts.
• Knowledge of 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 with emphasis on resiliency, security, and auditability.
• Proficiency in specific infrastructure technology and programming languages.
• Deep knowledge of cloud infrastructure and multiple cloud technologies, with ability to operate across public and private clouds.
• Experience delivering production solutions with non-functional requirements (resiliency, scalability, security, performance, operations).
• Understanding of risk and control considerations in enterprise tech (SDLC, changes, access, auditability, data handling).
• Proven ability to lead technical delivery in a matrixed organization across multiple teams.

Responsibilities

• Applies deep technical expertise to analyze complex data and systems, anticipating issues and advising on mitigations.
• Uses enterprise AI capabilities to accelerate analysis and document mitigation options, ensuring security and sensitivity compliance.
• Collaborates with other platforms to architect and implement changes to modernize processes.
• Drives results and multiple complex programs across the organization.
• Leads thought leadership within the product line.
• Ensures infrastructure work aligns with compliance standards, risk, and business objectives.
• Leads AI-assisted practices to reduce recurring issues, ensuring changes are validated, traceable and auditable.
• Architects, builds, and maintains agentic AI solutions to automate infrastructure tasks securely and production-grade.
• Contributes to tooling strategy and vendor evaluations for Mainframe/Midrange automation.
• Partners with operations, SRE, architecture, risk, and control functions to implement AI safely and transparently.
• Mentors engineers through pairing, reviews, and technical coaching to build leadership depth.

Skills

Cloud infrastructure

AI capabilities

CI/CD

Distributed systems

Observability

Data modeling

API design

Tools

Mainframe automation

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