Sr Lead Infrastructure Engineer - Python / AI

JPMorgan Chase
Plano, TX

Who this role is best for

A natural match if you have experience building agentic or LLM-integrated systems in production and a background in cloud infrastructure.

Best fit for

  • Candidates with hands-on experience in agentic systems and cloud infrastructure leadership
    — “Demonstrable experience building agentic or LLM-integrated systems in production”
  • Individuals with a strong track record in AI-assisted development and automation practices
    — “Leads reuse-first adoption of AI-assisted practices across delivery and automation routines”
  • Professionals who have worked with multi-agent frameworks and tool integrations
    — “Experience with MCP tool integration or tool-calling API pattern”

Things to consider

  • Requires working with enterprise-authorized AI tools and adhering to strict data sensitivity policies
    — “Uses enterprise-authorized AI capabilities within the work environment to accelerate analysis of complex infrastructure signals”
  • Candidates must be able to operate in public and private cloud environments
    — “Deep knowledge of cloud infrastructure and multiple cloud technologies”

How to stand out

  • Highlight your experience with agentic workflows and AI-native development in your resume and interview responses
    — “You design and develop agentic workflows, MCP tool integrations, and automation”
  • Demonstrate fluency with AI-assisted development tools like VS Code and GitHub Copilot
    — “Fluency with AI-assisted development tools such as VS Code, GitHub Copilot, or Claude Code”
  • Showcase your ability to validate AI-assisted recommendations and ensure compliance with security standards
    — “Ability to review and validate AI-assisted recommendations before implementation”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • design and develop agentic workflows and automation
  • promote AI-native development practices
Typical background
7+ years experience in software engineering with strong hands-on delivery

Skills & requirements

Required

Infrastructure EngineeringAi-native SystemsAgentic WorkflowsAutomationPythonAi-assisted PracticesValidationTraceabilityAuditing

Preferred

C#.NETPowershellAgentic-first PlatformCDAO Fusion Studio

Stack & domain

PythonAIAgentic WorkflowsMCP Tool IntegrationsAutomationC#.NETPowershellLeadershipProblem-solvingCollaborationTechnical ExpertiseCommunicationTeamworkInfrastructure EngineeringBranch Technology

About the role

Original posting from JPMorgan Chase

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 JPMorgan Chase within the Corporate Sector – Employee Platforms team, you exhibit both depth and breadth of knowledge across software, applications, and technical processes spanning multiple technical disciplines. You specialize in a specific domain within infrastructure engineering to promote programs and initiatives that integrate multiple technologies and applications. As part of the Branch Technology engineering team, you build software-defined platforms that manage and automate technology across the Retail Branch network. You operate in a small, focused team where engineers work across the stack, own delivery end to end, and work close to the architecture while maintaining a high bar and moving quickly. As an AI-Native Systems Engineer, you are a core member promoting the transition from a traditional C#, .NET, and PowerShell estate to an agentic-first platform. You design and develop agentic workflows, MCP tool integrations, and automation that define the next generation of branch technology, collaborating with experienced engineers under a clear architectural direction. You remain hands-on with the most complex problems and play an influential role in shaping the platform’s evolution. You work AI-native by default, leveraging AI across the full stack to accelerate the path from idea to production. In addition to building agentic systems, you help the team adopt them by establishing practices and patterns that make AI-native development the standard. You engage closely with emerging agentic capabilities on the CDAO Fusion Studio platform and operate with the autonomy required in a lean, high-impact team. 

Job responsibilitiesApplies 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 actionsUses 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 processesDrives results and implements multiple complex programsDrives thought leadership within the product lineResponsible for infrastructure engineering in accordance with business requirements and executes work according to compliance standards, risk and security, and business objectivesLeads 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. Required qualifications, capabilities, and skills Formal training or certification on infrastructure engineering concepts and 5+ years applied experience 7+ years of experience working in software engineering with strong hands-on deliveryDemonstrated 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.Deep knowledge of cloud infrastructure and multiple cloud technologies (ability to operate in and migrate across public and private clouds)An AI-native way of working, using AI across the development lifecycle to build faster and broader than a single specialization allowsDemonstrable experience building agentic or LLM-integrated systems in productionWorking knowledge of multi-agent frameworks such as Google ADK, LangGraph, or AutoGenExperience with MCP tool integration or tool-calling API patternProficiency in Python, with familiarity across C#, .NET, or PowerShellFluency with AI-assisted development tools such as VS Code, GitHub Copilot, or Claude Code

  Preferred qualifications, capabilities, and skills Experience with CDAO Fusion Studio or Fusion SmartSDK

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Source: JPMorgan Chase careers

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