Solution Architect – Gen AI
Job Description
Tech Stacks
- AI/ ML
- TensorFlow
- PyTorch
- Hugging Face
- LLMs
- NLP
- Python
- AWS Sagemaker
- Azure AI
- Google Vertex AI
Job Description
- Design and develop AI-driven solutions using generative AI models and machine learning frameworks.
- Collaborate with stakeholders to identify use cases and integrate AI capabilities into business workflows.
- Architect scalable and efficient AI solutions on cloud and on-premise infrastructures.
- Ensure AI models are optimized for performance, cost-efficiency, and ethical AI principles.
- Guide development teams in implementing AI-powered applications and APIs.
- Stay updated on advancements in generative AI, NLP, computer vision, and deep learning.
- Ensure compliance with AI governance, security, and data privacy standards.
- Document AI architecture, best practices, and implementation strategies.
Requirements
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field.
- Proven experience as a Solution Architect specializing in AI/ML and generative AI.
- Expertise in AI frameworks (TensorFlow, PyTorch, Hugging Face, etc.).
- Strong knowledge of LLMs, NLP, computer vision, and deep learning techniques.
- Experience with cloud AI services (AWS Sagemaker, Azure AI, Google Vertex AI).
- Proficiency in programming languages like Python and familiarity with AI model fine-tuning.
- Strong problem-solving and communication skills to interact with technical and non-technical stakeholders.
About the client
Our client is a leading global data engineering company specializing in AI-driven solutions and innovation.
