Siemens Energy Hiring AI Agent Deployment QA Engineer in Bangalore | Onsite
Role Overview
Job Overview Siemens Energy India Limited is hiring an AI Agent Deployment QA Engineer for its Information Technology team in Bangalore. This permanent full-time onsite role focuses on deploying, configuring, testing, maintaining, and scaling enterprise AI agents across business functions. You will work with enterprise AI platforms, cloud services, knowledge bases, prompt engineering, quality assurance processes, and deployment governance. The role is ideal for professionals experienced in technical operations, platform deployment, or QA who want to contribute to production-grade industrial AI solutions. Key Responsibilities - Deploy and configure enterprise AI agents. - Manage knowledge base architecture, versioning, and provisioning. - Design and execute QA plans, regression testing, hallucination checks, and retrieval validation. - Collect user feedback and coordinate improvements. - Maintain deployment records and governance documentation. - Support enterprise rollouts and onboarding. Required Skills Experience with enterprise AI platforms, cloud administration, identity and access management, prompt engineering, LLM behaviour, REST APIs, JSON, QA processes, version control, and technical documentation. Preferred Skills Microsoft AI certifications, Azure AI services, system integration, consulting, or industrial domain exposure are advantageous. Education Bachelor's degree in a relevant technical discipline is recommended. Experience Candidates should have 5 to 10 years of software platform deployment, technical operations, or QA experience. Required Technologies Microsoft Copilot Studio, Azure AI Foundry, AWS Bedrock Agents, Microsoft 365, Azure, Identity and Access Management, Prompt Engineering, LLM, REST API, JSON, Azure OpenAI, Azure AI Search, Knowledge Base Management, Regression Testing. Soft Skills Strong communication, analytical thinking, attention to detail, collaboration, documentation, and problem-solving. Benefits of Working in this Role Work on production-grade enterprise AI deployments, build expertise across AI agent platforms, and contribute to industrial AI services at scale. Work Mode Onsite. Location Bangalore, Karnataka, India. Who Should Apply Professionals with AI platform deployment, QA, cloud, and enterprise automation experience. Career Growth Develop advanced expertise in enterprise AI operations, cloud AI, governance, and AI deployment engineering. Application Advice Highlight AI platform deployments, cloud administration, QA automation, REST APIs, prompt engineering, and Azure or Microsoft ecosystem experience. Apply now through SoftoJobs to explore this opportunity.
Technical Ecosystem
Eligibility Criteria
Education
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field
Experience
5 - 10 years
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