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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
Lean Solutions Group (LSG) is a next-generation solutions provider combining AI-driven automation, industry expertise, and tech-powered talent. Built in the demanding Supply Chain sector, our model now supports 600+ clients across multiple industries, powered by 10,000+ employees in five countries. We help businesses achieve immediate efficiency, long-term resilience, and scalable growth by integrating intelligent technology, optimized processes, and high-performance teams.
At LSG, we believe in your talent and your potential. Join a multicultural, people-first environment where you can grow, sharpen your skills, and unlock new career opportunities. Here, every day brings fresh challenges, collaboration, and purpose.
Transform business challenges into lasting success through purpose-built teams, technology, and expertise.
A world where people, empowered by technology, turn any challenge into a catalyst for growth.
We are seeking an client-facing AI Support Specialist to resolve high-tier technical challenges across our AI platform. In this position, you will serve as the core link between enterprise clients and internal product engineering - investigating issues, executing code-level fixes, and guiding users toward quick resolutions through tickets and live calls.
Client Issue Resolution: Diagnose and resolve complex technical inquiries submitted via Salesforce ServiceCloud, email, and live video sessions during UTC coverage hours.
Incident Management: Participate in the weekend Sev-1 on-call schedule and manage client communications during critical SaaS service disruptions.
Engineering Escalations: Work side-by-side with data scientists, product managers, and developers to isolate edge cases and implement lasting bug fixes.
Solutions & Documentation: Develop technical workarounds for unique edge cases and author knowledge-base guides to streamline future troubleshooting.
Support Automation: Contribute to internal tooling and automation scripts aimed at optimizing support workflows and response speeds.
Education: Bachelor\'s degree in Computer Science, Data Science, Engineering, or relevant technical experience.
Enterprise Support: 2+ years assisting enterprise clients on complex software platforms, including practical experience with ticketing systems (Salesforce ServiceCloud preferred).
Systems & OS: Proven track record in Linux administration, log analysis, and enterprise network diagnostics.
Programming: Practical ability to analyze code bases and write Python scripts for workflow automation and issue replication.
AI/ML Concepts: Functional knowledge of the end-to-end Machine Learning lifecycle and modern AI frameworks.
Communication: Stellar written and spoken English communication skills for client-facing and internal coordination.
Background supporting enterprise AI, Data Analytics, or ML platforms.
Familiarity with containerized applications (Docker, Kubernetes).
Exposure to cloud infrastructure (AWS, Azure, GCP) and database management (SQL/NoSQL).
Previous experience managing critical incidents for SaaS applications.