AIOps Engineer – Vice President Position Available In Hudson, New Jersey

Location:

Jersey City, US-NJ

Rate:

Not Specified

Type:

Permanent AIOps Engineer – Vice President At CDAO (Chief Data Analytics Office), we drive our firm’s strategic investments in AI/ML and data-oriented tools and capabilities. Our Platform Engineering team is at the forefront of building innovative platforms, automating infrastructure operations, and enabling Agentic-based AIOps platforms. Our mission is to enhance scalability, security, and reliability for CDAO-hosted managed services. 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 JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses .

..

Rate:

Not Specified

Location:

Jersey City, US-NJ

Type:

Permanent

Industry:

Finance

Recruiter:

JPMorgan Chase Bank, N.A.

Contact:

Not Specified

Email:

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Reference:

210607010

Posted:

2025-06-22 08:29:02 –