
Generative AI Solutions Architect
14 hours ago
Job Title: Generative AI Solutions Architect
A skilled Generative AI Solutions Architect is required to design, build, and deploy innovative generative AI solutions using large language models. The ideal candidate will have experience with fine-tuning and customizing foundation models, developing prompt engineering strategies, and implementing model pipelines.
Key Responsibilities:
- Design, build, and deploy high-performance generative AI solutions.
- Fine-tune and customize foundation models using domain-specific datasets and techniques.
- Develop and optimize prompt engineering strategies to drive accurate and context-aware model responses.
- Implement model pipelines using Python and machine learning frameworks such as PyTorch, Hugging Face Transformers, or LangChain.
- Collaborate with data engineers and MLOps teams to productionalize GenAI models on cloud platforms (Azure/AWS/GCP).
- Ensure robustness, scalability, and compliance of AI models in deployment environments.
- Evaluate model performance using quantitative and qualitative metrics, and improve outputs through iterative experimentation.
Mandatory Skills:
- Generative AI (LLMs, Transformers)
- Python, PyTorch, Hugging Face Transformers
- Azure/AWS/GCP cloud platforms
- LangChain or similar orchestration frameworks
- REST APIs, FastAPI, Flask
- ML pipeline tools (MLFlow, Weights & Biases)
- Git CI/CD for ML (e.g., Azure ML, SageMaker pipelines)
Benefits:
- Opportunity to work with cutting-edge technology and contribute to the development of innovative AI solutions.
- Collaborative and dynamic work environment with experienced professionals.
- Professional growth and development opportunities.
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