GenAI Specialist
Tasks
- Build Retrieval-Augmented Generation solutions
- Create reusable AI frameworks assets and best practices
- Design multi agent and agentic AI systems
- Develop APIs microservices and application components for AI deployments
- Develop and deploy AI powered copilots intelligent agents and automation
- Educate stakeholders on AI adoption and trust
- Identify high value generative AI use cases
- Implement prompt engineering embeddings context management orchestration
- Integrate AI solutions with Microsoft 365 SharePoint ERP and business applications
- Manage end to end solution ownership from ideation to value realization
- Monitor solution performance adoption and improve AI capabilities
- Prototype proof of concepts and validate business value
- Support AI governance security compliance and responsible AI
- Track ROI productivity gains and business impact
Perks/Benefits
Skills/Tech-stack
AI Studio | Agent systems | Agentic AI | Azure AI | Azure AI Studio | Azure Cloud | Azure Cloud Services | Azure OpenAI | Azure OpenAI Service | CI/CD | Cloud services | Compliance | Containerization | Copilot Studio | Data Pipelines | Data integration | Dataverse | Docker | Embeddings | Enterprise Architecture | Governance | LLMOps | Language Models | Large Language Models | MLOps | Microservices | Microsoft Fabric | Model Monitoring | Multi-Agent | Multi-Agent Systems | OpenAI Service | Prompt engineering | Python | REST APIs | Responsible AI | Retrieval-Augmented Generation | SQL | Security | Semantic Kernel
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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