Design and architect AI/GenAI solutions on GCP; create architecture diagrams; develop, deploy, and optimize ML models; preprocess and manage large datasets; provide technical guidance to engineering teams; and present solutions to clients.
Job Summary
We are seeking an experienced AI/GenAI Solution Architect with expertise in Google Cloud Platform (GCP) to design and implement innovative AI solutions. The ideal candidate will have a strong background in cloud technologies and a passion for developing intelligent applications.
Key Responsibilities:
- Design and architect AI and GenAI solutions on GCP.
- Create and develop comprehensive architecture diagrams for AI solutions.
- Develop and deploy machine learning models, ensuring alignment with architectural designs.
- Manage and preprocess large datasets to support training and evaluation of AI models.
- Optimize existing AI solutions for performance and scalability.
- Stay updated on the latest AI trends and GCP services.
- Provide technical guidance and support to engineering teams.
- Engage in technical discussions and presentations with clients to understand their needs and propose solutions.
Qualifications:
- Bachelor's degree in Computer Science, Engineering, or related field.
- Proven experience as a Solution Architect in AI/GenAI.
- Strong knowledge of GCP services (e.g., Google AI Platform, BigQuery, VertexAI, Google Cloud Storage).
- Proficiency in Python.
- Familiarity with Generative AI models (e.g., GPT, LLama, DALL-E and others).
- Experience with data technologies (e.g., SQL, NoSQL, data lakes, ETL processes).
- Experience with data processing and machine learning frameworks (e.g., TensorFlow, PyTorch).
- Excellent problem-solving and communication skills.
Preferred Skills:
- Certification in Google Cloud Professional Data Engineer or Professional Cloud Architect.
- Familiarity with DevOps practices and tools.
- Experience with large-scale data processing.
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