Business AI Platform Support Engineer
This is a remote position.
Manning Global, an Internationally renowned staffing and managed services organization specializing in providing staffing solutions for leading corporations in AI, IT & Telecoms, Engineering, Digital Media, Automotive and Renewable Energy is recruiting for Business AI Platform Support Engineer on behalf of one of their blue-chip international clients to join their organization in India.
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Job Title:
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Business AI Platform Support Engineer
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Employment:
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Permanent
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Start Date:
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October/2026
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Country:
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India –Bangalore, Remote
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Salary range:
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TBD
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Contact:
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Ashwini Chawan on: +49 (0) 89 23 88 98 35
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About the Role
We are seeking a dedicated Support Engineer to help our enterprise clients get full value from
the client Business AI Cloud deployments. You will act as the first line of technical
defense: diagnosing platform and agent issues, supporting configurations, and keeping
production AI environments running smoothly. This is an excellent opportunity for early-
career professionals to build deep hands-on expertise in enterprise AI platforms.
Key Responsibilities
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We are seeking a dedicated Support Engineer to help our enterprise clients get full value from the client Business AI Cloud deployments.
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You will act as the first line of technical defense: diagnosing platform and agent issues, supporting configurations, and keeping production AI environments running smoothly.
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This is an excellent opportunity for early-career professionals to build deep hands-on expertise in enterprise AI platforms.
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Serve as the primary technical point of contact for client issues across deployed Business AI Cloud environments and Business AI Suite agents (for example self-service, real-time guidance, and conversation insights agents).
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Troubleshoot, diagnose, and resolve configuration, integration, and user-access issues across the platform´s data, knowledge, model, and agentic layers.
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Monitor the health and performance of AI agents in production: answer quality, latency, API integration performance, and error rates.
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Assist with routine configuration of agent workflows, knowledge bases, dashboards, and reports.
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Escalate complex defects to senior delivery engineers or Client support while keeping the client informed with clear, regular updates.
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Document recurring issues, write knowledge-base articles, and contribute to runbooks and continuous improvement of support processes.
Experience/Qualifications:
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0-5 years. Fresh graduates are welcome if they hold relevant cloud, data, or AI certifications (for example AWS, Azure, Google Cloud, Genesys, or NICE) or can show hands-on AI project work.
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0 to 5 years of experience in IT support, SaaS platform administration, or technical customer service.
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Fresh graduates should hold relevant cloud or AI certifications (for example AWS, Azure, or Google Cloud) or show hands-on project work with AI tools.
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Working knowledge of REST APIs, webhooks, and web technologies, and comfort reading logs to trace issues.
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Basic understanding of how LLM-based applications work (prompts, knowledge retrieval, AI agents); experience with chatbots or contact-centre tools is a plus.
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Familiarity with contact-centre or CRM systems (for example Genesys, NICE, Five9, Salesforce, ServiceNow) is an advantage.
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Excellent problem-solving skills and a customer-first communication style.