AI Ops Engineer

Job Description

We are looking for a passionate and detail-oriented AI Ops Engineer to support and enhance our automation ecosystem. The ideal candidate will play a key role in monitoring, maintaining, and troubleshooting RPA workflows, APIs, telemetry systems, databases, and cloud operations. The role involves close collaboration with cross-functional teams under Agile & Kanban frameworks.

This is a highly hands-on role best suited for someone who loves technology, analytical problem-solving, and continuous learning.

What you'll need to bring to the role & Experian

• A Bachelor's degree (or final-year student) in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
• 3 years of experience on support and troubleshoot automation workflows (Automation Anywhere / Python).
• Monitor and analyze Telemetry logs, performance dashboards, and error alerts.
• Basic understanding of machine learning and generative AI concepts, and data science principles.
• Work with APIs and MCP (Model Control/Management Platforms) for deployment, configuration, testing, and support.
• Perform L1/L2 operational support, including root-cause analysis and escalation management.
• Maintain and query Databases (SQL / NoSQL) for logs, performance insights, and investigation.
• Support deployment, testing, and monitoring across cloud servers (AWS / Azure / GCP).
• Maintain and organize work progress using Kanban boards and Agile methodology.
• Document operational processes, FAQs, and troubleshooting playbooks.
• Familiarity with cloud computing platforms such as AWS, GCP, or Azure is a plus.
• Some knowledge of CI/CD pipelines and DevOps practices is beneficial but not required (ex: Jenkins and Docker).

Work that matters - What you'll be doing

• Ensure our automation systems operate seamlessly, helping hundreds of workflows run with minimal manual effort and maximum efficiency.
• Be the first line of intelligence in detecting and preventing failures, reducing downtime and safeguarding business continuity.
• Translate telemetry insights into meaningful action, turning logs and metrics into stability, performance improvements, and smarter automation.
• Support and optimize RPA workloads that eliminate repetitive work - helping teams focus on high-value business tasks instead of manual operations.
• Work closely with developers, business teams, and cloud engineers to keep our AI/automation ecosystem scalable, secure, and predictable.
• Help build operational playbooks and guidelines, ensuring fast knowledge transfer and self-serve troubleshooting for the team.
• Strengthen data accuracy and accountability by ensuring error logs, databases, and API events are tracked and acted on proactively.

More about you

• A problem-solver with strong analytical thinking.
• Comfortable working in a fast-paced, agile environment.
• Able to communicate clearly with technical and non-technical teams.
• Curious, self-driven, and open to experimenting with new technologies.
• Good communication skills and ability to work collaboratively in a team environment.
• Teamwork, working closely with the business, analysts, developers, and stakeholders.
• Attention to detail.
• Critical and creative thinking would be highly beneficial for this role.

Why this role is important to us

This role is critical because our automation and AI operations are the backbone of business efficiency. The AI Ops Engineer ensures that every automation runs reliably, every alert is acted on, and every breakdown is prevented - directly protecting customer experience, business continuity, and operational scalability. Without this role, our growth slows with it, we scale confidently.

Qualifications

• A Bachelor's degree (or final-year student) in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
• 3 years of experience on support and troubleshoot automation workflows (Automation Anywhere / Python).

Additional Information

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning World's Best Workplaces 2024 (Fortune Top 25), Great Place To Work in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

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