Business AI Platform Support Engineer
Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Aug 27, 2026. Manning Global scores B on the Alion truth index.
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 Energyis recruiting for Business AI Platform Support Engineeron behalf of one of their blue-chip international clients to join their organizationinIndia.
Job Title:
Business AI Platform Support Engineer
Employment:
Permanent
Start Date:
October/2026
Country:
India -Bangalore, Remote
Salary range:
TBD
Contact:
Ashwini Chawan on: +49 (0) 89 23 88 98 35
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
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.
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).
Troubleshoot, diagnose, and resolve configuration, integration, and user-access issues across the platform´s data, knowledge, model, and agentic layers.
Monitor the health and performance of AI agents in production: answer quality, latency, API integration performance, and error rates.
Assist with routine configuration of agent workflows, knowledge bases, dashboards, and reports.
Escalate complex defects to senior delivery engineers or Client support while keeping the client informed with clear, regular updates.
Document recurring issues, write knowledge-base articles, and contribute to runbooks and continuous improvement of support processes.
Experience/Qualifications:
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.
0 to 5 years of experience in IT support, SaaS platform administration, or technical customer service.
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.
Working knowledge of REST APIs, webhooks, and web technologies, and comfort reading logs to trace issues.
Basic understanding of how LLM-based applications work (prompts, knowledge retrieval, AI agents); experience with chatbots or contact-centre tools is a plus.
Familiarity with contact-centre or CRM systems (for example Genesys, NICE, Five9, Salesforce, ServiceNow) is an advantage.
Excellent problem-solving skills and a customer-first communication style.