Sprinklr AI L2 Support Engineer

This range is provided by Guidance Groove. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Job Title : Sprinklr AI L2 Support Engineer

Location : Riyadh, Saudi Arabia

Experience Required : 5 to 7 Years

Employment Type : Full-Time

Industry : Consulting / Digital Transformation

Department : Technical Support / Customer Success

About The Role

As a fast-growing consulting firm specializing in digital transformation and customer experience solutions, we are seeking a Sprinklr AI L2 Support Engineer to join our client-facing support team in Riyadh . This role demands hands-on expertise in Sprinklr’s AI and automation tools, with a strong foundation in troubleshooting, configuration, and incident resolution. You will act as a bridge between our clients, technical teams, and the Sprinklr product suite, ensuring seamless platform performance and customer satisfaction.

Key Responsibilities

• Provide Level 2 support for Sprinklr AI modules, including Smart Insights, automation rules, sentiment models, and rule-based classification.
• Troubleshoot technical issues escalated from L1 and ensure timely resolution within SLA.
• Perform deep-dive analysis of data flows, integration logs, and system behavior to identify and rectify complex issues.
• Collaborate with product and engineering teams to escalate platform bugs or enhancement requests.
• Maintain system documentation, RCA reports, and technical runbooks.
• Implement minor configurations, automation logic, and reporting changes based on client requests.
• Train and mentor junior support analysts to ensure service consistency and knowledge sharing.

Skills & Competencies Required

Preferred Qualifications

Additional Details

Skills required include classification frameworks, Salesforce integration, Sprinklr platform support, customer experience, digital transformation, JSON, HubSpot integration, incident tracking systems, Oracle CX integration, Postman, rule-based automation, Sprinklr, REST APIs, data pipelines, debugging logs, API consoles, SQL, sentiment analysis, AI functionalities, and AI workflows.

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