JPMorgan AIOps Engineer - Vice President 

United States, New Jersey, Jersey City 

784706473

As an AIOps Platform Engineer within our platform operations team, you will be tasked with the design, construction, and maintenance of our AIOps solution. This role demands a profound knowledge of AI/ML technologies, IT infrastructure, and platform engineering.

Job Responsibilities:

• Design and implement a robust AIOps platform to support the AI/ML and Data organization's operational needs
• Collaborate with data scientists, machine learning engineers, and platform operations teams to integrate AI/ML agents into the platform
• Develop and maintain data pipelines and workflows to ensure efficient data collection, processing, and analysis to provide actionable intelligence for agents.
• Implement monitoring and alerting systems to ensure the platform's reliability, availability, and performance
• Automate routine tasks and processes to enhance operational efficiency and reduce manual intervention
• Troubleshoot and resolve platform-related issues, ensuring minimal impact on AI/ML operations
• Stay current with industry trends and advancements in AIOps, AI/ML, and data engineering
• Develop and deploy agentic systems and agents to automate routine tasks and processes, enhancing operational efficiency

Required qualifications, capabilities and skills:

• Bachelor’s degree in Computer Science, Mathematics, or a related field
• Proven experience in platform engineering, with a focus on AI/ML technologies and data operations
• Strong programming skills in languages such as Python, Java, or Scala
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes)
• Familiarity with data processing frameworks (e.g., Apache Kafka, Apache Spark) and IT monitoring tools (e.g., Prometheus, Grafana, Datadog)
• Knowledge of machine learning algorithms and data analysis techniques.
• Experience working with agentic systems and agents for automation
• Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment
• Strong communication and interpersonal skills

Preferred qualifications, capabilities and skills:

• Master's degree in a related field
• Certifications in cloud computing, AI/ML, or data engineering (e.g., AWS Certified Machine Learning, Google Professional Data Engineer)
• Experience with DevOps practices and CI/CD pipelines