AI Solution Design: Architect and design AI solutions that meet business requirements and leverage the latest technologies.
- Azure Infrastructure Setup: Set up and manage Azure cloud infrastructure to support AI development and deployment.
- Promptflow Code Development: Develop and optimize Promptflow code using Python, ensuring efficient and scalable AI workflows.
- LangChain Integration: Implement LangChain for building context-aware and task-driven AI agents.
- Vector Databases: Utilize vector databases for high-dimensional data storage and retrieval, enhancing AI capabilities.
- LLM Models: Integrate and fine-tune large language models (LLMs) for various AI applications, including natural language processing and content generation.
- LangGraph Utilization: Leverage LangGraph for building and deploying AI agents with memory and tool integration.
- Collaboration: Work closely with cross-functional teams, including data scientists, engineers, and product managers, to deliver AI solutions.
- Research and Innovation: Stay updated with the latest advancements in AI and machine learning, and apply innovative techniques to improve AI systems.
- Documentation: Maintain comprehensive documentation of AI architectures, processes, and best practices.
Qualifications:
- Education: Bachelors or Masters degree in Computer Science, Engineering, or a related field.
- Experience: Proven experience as an AI Architect or similar role, with a strong background in AI development and cloud infrastructure.
- Technical Skills:
Proficiency in Python and related libraries (e.g., AI Solution Design: Architect and design AI solutions that meet business requirements and leverage the latest technologies.
- Azure Infrastructure Setup: Set up and manage Azure cloud infrastructure to support AI development and deployment.
- Promptflow Code Development: Develop and optimize Promptflow code using Python, ensuring efficient and scalable AI workflows.
- LangChain Integration: Implement LangChain for building context-aware and task-driven AI agents.
- Vector Databases: Utilize vector databases for high-dimensional data storage and retrieval, enhancing AI capabilities.
- LLM Models: Integrate and fine-tune large language models (LLMs) for various AI applications, including natural language processing and content generation.
- LangGraph Utilization: Leverage LangGraph for building and deploying AI agents with memory and tool integration.
- Collaboration: Work closely with cross-functional teams, including data scientists, engineers, and product managers, to deliver AI solutions.
- Research and Innovation: Stay updated with the latest advancements in AI and machine learning, and apply innovative techniques to improve AI systems.
- Documentation: Maintain comprehensive documentation of AI architectures, processes, and best practices.
Qualifications:
- Education: Bachelors or Masters degree in Computer Science, Engineering, or a related field.
- Experience: Proven experience as an AI Architect or similar role, with a strong background in AI development and cloud infrastructure.
- Technical Skills:
- Proficiency in Python and related libraries (e.g., TensorFlow, PyTorch).
- Experience with Azure cloud services and infrastructure management.
- Knowledge of LangChain, Vector Databases, LLM Models, and LangGraph.
- Strong understanding of machine learning algorithms and data structures.
- Soft Skills: Excellent problem-solving skills, strong communication abilities, and the ability to work collaboratively in a team environment.
- Certifications: Relevant certifications in AI, machine learning, or cloud computing (e.g., Microsoft Certified: Azure AI Engineer Associate) are a plus.
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- Experience with Azure cloud services and infrastructure management.
- Knowledge of LangChain, Vector Databases, LLM Models, and LangGraph.
- Strong understanding of machine learning algorithms and data structures.
- Soft Skills: Excellent problem-solving skills, strong communication abilities, and the ability to work collaboratively in a team environment.
- Certifications: Relevant certifications in AI, machine learning, or cloud computing (e.g., Microsoft Certified: Azure AI Engineer Associate) are a plus.
