Lead Software Engineer - AI​/ML and IaC

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 JPMorgan

Chase 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.

• 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 Dev Ops 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

• 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, Cloud Formation) 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 (Tensor Flow, 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.

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