AI Ops Engineer

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 youll need to bring to the role & Experian

• A Bachelors 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 youll 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 Bachelors 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. Experians 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. Experians people first approach is award-winning; Worlds 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 Experians 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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Remote Work :

No

Employment Type :

Full-time