We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Software Engineer III at JPMorgan Chase within the Corporate Technology organization, you will serve as a seasoned member of an agile team, designing and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. You will be responsible for implementing critical technology solutions across multiple technical areas within various business functions, supporting the firm’s business objectives.

Job responsibilities

 

Designs, develops, deploys, and manages AI/ML models using advanced techniques, LLMs, and Agentic AI for compliance and risk management solutions.Conducts research on AI techniques to enhance model performanceDesigns, builds, tests, and deploys automation scripts, monitoring tools, and machine learning models to support IT operations; ensures solutions are scalable, maintainable, and aligned with business requirementsImplements and refines algorithms for anomaly detection, predictive incident analysis, and automated remediation while integrating these solutions with existing monitoring and alerting platforms to reduce manual intervention and improve response timesIntegrates AIOps solutions with IT service management (ITSM) tools, CI/CD pipelines, and cloud infrastructure; automates repetitive operational tasks such as health checks, resource provisioning, and incident triageCollect, clean, and process operational data from diverse sources such as logs, metrics, events, and tracesWorks closely with SREs, infrastructure, application, and support teams to understand operational pain points and requirementsParticipates in code reviews, contributes to best practices, and help optimize existing AIOps workflows; monitors solution performance and iterate based on feedback and operational metricsEnsures all automation and data handling practices comply with organizational security policies and regulatory requirements; collaborates with security teams to address vulnerabilities and maintain data integrityDevelops and maintains tools and frameworks for model training, evaluation, and optimizationCreates and maintains clear documentation for developed solutions, processes, and troubleshooting guides and trains team members and stakeholders on AIOps tools and practices

 

Required qualifications, capabilities, and skills

 

Formal training or certification on software engineering concepts and 3+ years applied experienceHands-on practical experience in system design, application development, testing, and operational stabilityProficient hands-on coding experience in Java and Python, with experience in leveraging available libraries, such as Tensorflow, Keras, Pytorch, or Scikit-learn to dedicated projectsExperience in Artificial Intelligence (AI) Model development such as Generative AI (GenAI) and large language models (LLM)Demonstrated knowledge of software applications and technical processes within a technical discipline Artificial Intelligence (AI) and Machine Learning (ML)Strong experience in natural language processing (NLP) and its applicationsProficient knowledge of cloud technologies such as AzureOverall knowledge of the Software Development Life Cycle and solid understanding of agile methodologies such as CI/CD, Application Resiliency, and SecurityDemonstrated experience in working on Spark, Hive, and SQL

Preferred qualifications, capabilities, and skills

 

Familiarity with modern front-end technologiesProficient Knowledge of AWS cloud and its basic servicesFamiliarity with MLOps tools and practices for seamless integration of machine learning models into production