AI Ops Engineer (flex-hybrid)

About the position

Come shape the future of healthcare IT with us! Are you passionate about leveraging Artificial Intelligence (AI), Machine Learning (ML), and automation to enhance IT operations and data management? UCLA Health IT is seeking a highly skilled AIOps and DataOps Engineer to join our Solutions Architecture and Engineering (SAE) Team, ensuring that our on-premises and cloud infrastructure stays ahead of rapid customer growth. As an AIOps and DataOps Engineer, you will play a pivotal role in optimizing IT operations and data workflows.

Responsibilities

• Automate IT operations to enhance system reliability, performance, efficiency, and security.
• Optimize data pipelines, ensuring data quality and availability for business intelligence and analytics.
• Integrate AI/ML solutions into observability practices to proactively detect and resolve system issues.
• Collaborate across teams, including IT, data science, and business units, to drive operational excellence.
• Design and implement scalable architectures that align with organizational needs while maintaining strong security protocols.
• Develop and maintain AIOps platforms for predictive analytics and proactive system optimization.
• Automate incident detection, diagnosis, and resolution using AI-driven tools.
• Establish data governance frameworks, ensuring high data quality and compliance.
• Implement monitoring and alerting systems for real-time performance tracking.
• Design process automation solutions using Terraform, Chef, Puppet, Jenkins, and other tools.
• Work with distributed environments across Linux and Windows platforms.
• Ensure seamless cloud integration within AWS and Azure, leveraging Infrastructure as Code (IaC).
• Foster collaboration across IT, business operations, and data teams to streamline workflows and improve efficiency.

Requirements

• Bachelor's or Master's degree in Computer Science or related fields.
• 2+ years of experience in AI/ML, AIOps, and DataOps concepts.
• Development experience in Python, Java, C++, JSON, Node.js (JavaScript), Ruby, and relevant scripting languages.
• Certifications in AI/ML technologies or cloud platforms (AWS Certified Solutions Architect a plus).
• Experience with monitoring tools like ServiceNow, WIZ, Prometheus, or Splunk (for AIOps).
• Working knowledge of DevOps principles and practices.
• Expertise in containerization (Docker, Kubernetes) for deployment efficiency.
• Strong communication skills with a collaborative mindset.

Nice-to-haves

• Excellent oral and written communication skills for clear and concise technical documentation.
• Strong adaptability, flexibility, and team spirit with a drive for success.
• Familiarity with continuous delivery pipelines and containerization technologies.
• Proven ability to document processes and procedures effectively.
• Ability to complete tasks and projects with minimal supervision, demonstrating initiative and organization.
• Strong attention to detail for high-quality work.