Client-Facing AI Support Engineer (Enterprise SaaS)

Lean Solutions Group; Philippines; On-site; PHP 900,000 - 1,300,000; Full time

Job summary

Lean Solutions Group (LSG) is seeking a client-facing AI Support Specialist to resolve high-tier technical challenges on our AI platform. You will be the core link between enterprise clients and internal product engineering, diagnosing issues, implementing code-level fixes, and guiding users toward quick resolutions via tickets and live calls.

Responsibilities include diagnosing complex inquiries, participating in on-call Sev-1 rotations, and collaborating with data scientists and developers to

Qualifications

• Bachelor's degree in a relevant technical field.
• 2+ years enterprise client support on complex software platforms.
• Experience with Linux, log analysis, and enterprise networks.
• Ability to analyze code and write Python scripts for automation.
• Knowledge of AI/ML lifecycle and modern frameworks.
• Strong written and spoken English for client-facing roles.

Responsibilities

• Diagnose and resolve complex technical inquiries submitted via Salesforce ServiceCloud, email, and live video sessions.
• Participate in weekend Sev-1 on-call schedule and manage client communications during SaaS disruptions.
• Collaborate with data scientists, product managers, and developers to isolate edge cases and fix bugs.
• Develop technical workarounds and publish knowledge-base guides for future troubleshooting.
• Contribute to internal tooling and automation to improve support workflows.

Skills

Linux administration

Python scripting

English communication

Ticketing systems

Salesforce ServiceCloud

Education

Bachelor's degree in Computer Science / Data Science / Engineering

Tools

Docker

Kubernetes

Cloud platforms (AWS/Azure/GCP)

Job description

Lean Solutions Group (LSG) is seeking a client-facing AI Support Specialist to resolve high-tier technical challenges on our AI platform. You will be the core link between enterprise clients and internal product engineering, diagnosing issues, implementing code-level fixes, and guiding users toward quick resolutions via tickets and live calls.

Responsibilities include diagnosing complex inquiries, participating in on-call Sev-1 rotations, and collaborating with data scientists and developers to