Lead Software Engineer - AI/ML and IaC

Testing Site - JPMC; Plano (TX); On-site; USD 130,000 - 190,000; Full time

Job summary

JPMorganChase in Plano, TX, is seeking a Lead Software Engineer to drive AI/ML initiatives within the Consumer and Community Banking technology deposits platform. The role requires design, development, and deployment of AI-driven solutions across cloud and on-prem environments.

You will lead cross-functional teams to automate processes, enhance CI/CD pipelines, and build observability tools that ensure reliability and scalability of critical banking platforms.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• 5+ years of experience in AI/ML engineering, with proven expertise in agent-based systems and automation.
• Strong experience in automating IAC development (e.g., Terraform, Ansible, CloudFormation) using AI/ML.
• Deep understanding of observability tools (e.g., Prometheus, Grafana, ELK stack) and automation using AI/ML.
• Proficiency in Python, Java, or similar programming languages; experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Designs, develops, and deploys AI/ML models and agent-based systems to automate business and technology processes.
• Leads the integration of intelligent agents for workflow automation, decision-making, and process optimization.
• Builds and maintain AI-driven tools to automate IAC development, deployment, and management across cloud and on-prem environments.
• Collaborates with DevOps teams to enhance CI/CD pipelines using machine learning for predictive analytics and automated remediation.
• Develops AI-powered observability solutions to monitor, analyze, and proactively manage application and infrastructure health.
• Automates alerting, root cause analysis, and incident response using advanced ML techniques.
• Works closely with cross-functional teams (engineering, product, operations) to identify automation opportunities and deliver impactful solutions.
• Stays abreast of emerging AI/ML technologies, frameworks, and industry trends.
• Drives continuous improvement by evaluating and implementing new tools, methodologies, and approaches.
• Adds to team culture of diversity, opportunity, inclusion, and respect

Skills

AI/ML engineering

Agent-based systems

Automation

CI/CD

Observability

Python/Java

Cloud platforms

Docker/Kubernetes

Agile methodologies

Security

Education

Bachelor's or Master's in Computer Science or Engineering

Tools

Terraform

Ansible

CloudFormation

Prometheus

Grafana

ELK stack

TensorFlow

PyTorch

Scikit-learn

AWS

Azure

GCP

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Consumer and Community Banking technology -Deposits Platform, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Designs, develops, and deploys AI/ML models and agent-based systems to automate business and technology processes.
• Leads the integration of intelligent agents for workflow automation, decision-making, and process optimization.
• Builds and maintain AI-driven tools to automate IAC development, deployment, and management across cloud and on-prem environments.
• Collaborates with DevOps teams to enhance CI/CD pipelines using machine learning for predictive analytics and automated remediation.
• Develops AI-powered observability solutions to monitor, analyze, and proactively manage application and infrastructure health.
• Automates alerting, root cause analysis, and incident response using advanced ML techniques.
• Works closely with cross-functional teams (engineering, product, operations) to identify automation opportunities and deliver impactful solutions.
• Stays abreast of emerging AI/ML technologies, frameworks, and industry trends.
• Drives continuous improvement by evaluating and implementing new tools, methodologies, and approaches.
• Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• 5+ years of experience in AI/ML engineering, with proven expertise in agent-based systems and automation.
• Strong experience in automating IAC development (e.g., Terraform, Ansible, CloudFormation) using AI/ML.
• Deep understanding of observability tools (e.g., Prometheus, Grafana, ELK stack) and automation using AI/ML.
• Proficiency in Python, Java, or similar programming languages; experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Familiarity with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

Preferred qualifications, capabilities, and skills

• Proficiency in automation and continuous delivery methods
• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience