Experience Range: With at least 7 to 10 years of experience in AI advanced analytics cloud platforms and solution architecture including demonstrated expertise in translating business requirements into scalable secure production-ready AI solutions Key Responsibilities:
- Architect and deliver enterprise AI platforms and advanced analytics solutions that align with business objectives and drive measurable outcomes
- Translate complex business use cases into scalable AI analytics and technology architectures leveraging up-to-date cloud and AI capabilities
- Design and implement AI solutions utilizing Azure Foundry Azure AI services and cloud-native technologies to ensure scalability security and production readiness
- Define architecture patterns and frameworks for Generative AI machine learning advanced analytics and intelligent applications
- Collaborate with business data engineering and platform teams to drive AI initiatives from ideation through implementation
- Establish standards and best practices for AI platform engineering integration governance security and operationalization
- Evaluate emerging AI platform capabilities and technologies to identify opportunities for improving business outcomes
- Provide architectural guidance to delivery teams and stakeholders to ensure AI investments are aligned with enterprise priorities
Required Skills:
- Microsoft Azure AI technologies including Azure Foundry and Azure AI services
- Designing scalable secure and production-ready AI and analytics solutions
- Generative AI machine learning and advanced analytics architectures
- Enterprise cloud platforms and data platform engineering
- API design integration patterns and modern AI solution architectures
- AI governance security responsible AI and operationalization best practices
- MLOps and AI platform automation
Preferred Skills:
- Leading enterprise AI transformation and platform modernization initiatives
- GenAI patterns including LLM applications Retrieval-Augmented Generation (RAG) agents prompt engineering and AI orchestration
- Building reusable AI platforms and accelerators for enterprise-scale adoption
- LLMOps AI observability and model lifecycle management
- Connecting AI platform capabilities to measurable business outcomes
Desired Qualifications:
- Bachelors degree in Computer Science Information Technology Data Science or a closely related discipline
- Microsoft Certified: Azure Solutions Architect Expert
- Microsoft Certified: Azure AI Engineer Associate
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
📌 Data Science Lead R (Hyderabad)
🏢 Brillio
📍 Hyderabad
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