The AI Architect will own the technical architecture for AI-driven solutions, ensuring scalability, reliability, and alignment with business goals.
Key Responsibilities:
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.
Key Responsibilities:
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:
Bachelors or Masters in Computer Science, Engineering, or related field.
7+ years of experience in software architecture, with 3+ years 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 Qualifications:
Experience with multi-modal generative models (text, image, audio).
Prior experience in regulated industries (finance, healthcare, etc.).
Bachelors or Masters in Computer Science, Engineering, or related field.
7+ years of experience in software architecture, with 3+ years 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 Qualifications:
Experience with multi-modal generative models (text, image, audio).
Prior experience in regulated industries (finance, healthcare, etc.).
This position is open to all candidates.
