AIOps Engineer - Vice President
Company: JPMorgan Chase & Co.
Location: Jersey City
Posted on: April 3, 2026
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Job Description:
Description 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
Keywords: JPMorgan Chase & Co., Brentwood , AIOps Engineer - Vice President, IT / Software / Systems , Jersey City, New York
