Posted on 2025/12/20
Specialist Data/AI Engineering
AT&T
Los Angeles, CA, United States
Qualifications
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
- 2+ years of experience working with generative AI models
- 3+ years of experience designing and implementing AI/ML solutions on Azure
- Strong understanding of SQL and database administration best practices
- Proficiency in Python and major AI/ML frameworks (TensorFlow, PyTorch, etc.)
Responsibilities
- This role involves working as a specialist in data and AI engineering, implementing generative AI solutions using machine learning and deep learning techniques
- Designing and implementing generative AI models using GANs, VAEs, LLMs, etc
- Deploying and managing AI models on Azure, leveraging Azure AI services, storage, and compute resources
- Developing and maintaining RESTful APIs using FastAPI to serve AI models and integrate with web applications
- Building and orchestrating AI agent workflows using LangChain and LangGraph for multi-step reasoning and automation
- Working closely with data scientists, ML engineers, and product teams to translate business needs into reliable AI systems
Full Description
About the Role
This role involves working as a specialist in data and AI engineering, implementing generative AI solutions using machine learning and deep learning techniques.
Main Responsibilities
• Designing and implementing generative AI models using GANs, VAEs, LLMs, etc.
• Deploying and managing AI models on Azure, leveraging Azure AI services, storage, and compute resources.
• Developing and maintaining RESTful APIs using FastAPI to serve AI models and integrate with web applications.
• Building and orchestrating AI agent workflows using LangChain and LangGraph for multi-step reasoning and automation.
• Working closely with data scientists, ML engineers, and product teams to translate business needs into reliable AI systems.
Requirements
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• 2+ years of experience working with generative AI models.
• 3+ years of experience designing and implementing AI/ML solutions on Azure.
• Strong understanding of SQL and database administration best practices.
• Proficiency in Python and major AI/ML frameworks (TensorFlow, PyTorch, etc.).

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