AIOps Engineer - Vice President
AIOps Engineer - Vice President
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$ 164350 - 260000
1 Vacancy
Job Description
At CDAO (Chief Data Analytics Office) we drive our firms strategic investments in AI/ML and dataoriented tools and capabilities. Our Platform Engineering team is at the forefront of building innovative platforms automating infrastructure operations and enabling Agenticbased AIOps platforms. Our mission is to enhance scalability security and reliability for CDAOhosted 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 organizations 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 platforms reliability availability and performance
- Automate routine tasks and processes to enhance operational efficiency and reduce manual intervention
- Troubleshoot and resolve platformrelated 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:
- Bachelors 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 problemsolving skills and the ability to work collaboratively in a fastpaced environment
- Strong communication and interpersonal skills
Preferred qualifications capabilities and skills:
- Masters 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
Required Experience:
Chief
Employment Type
Full-Time
