Tech Stack
AWSAzureCloudDistributed SystemsGoogle Cloud Platform
About the role
- Own the technical architecture for AI-driven solutions, ensuring scalability, reliability, and alignment with business goals
- Design and document the architecture for generative AI solutions
- Evaluate and select appropriate models, frameworks, and infrastructure
- Define standards for data pipelines, model lifecycle management, and security
- Collaborate with engineering, data, and product teams to translate business needs into technical solutions
- Lead technical reviews and provide guidance on best practices and emerging technologies
- Ensure compliance with data privacy, security, and ethical AI guidelines
Requirements
- Bachelor’s or Master’s in Computer Science, Engineering, or related field
- 7+ years of experience in software architecture
- 3+ years of experience in AI/ML systems
- Deep understanding of generative AI models and deployment strategies
- Familiarity with model monitoring, drift detection, and responsible AI practices
- Experience architecting cloud-based AI solutions (AWS, Azure, GCP)
- Strong knowledge of data engineering, distributed systems, and API design
- Excellent communication and documentation skills
- Advanced level of English
- Working Israeli permit - a must
- Preferred: Experience with multi-modal generative models (text, image, audio)
- Preferred: Prior experience in regulated industries (finance, healthcare, etc.)