Description
Silverfort is a cyber-security startup that develops a revolutionary identity protection platform. Using patented technology, our product enables strong authentication across entire corporate networks and cloud environments, without any modifications to endpoints and servers. In addition, we use advanced behavior analytics to apply adaptive authentication policies and prevent cyber-attacks in real time.
Our mission is to provide industry-leading unified identity protection solutions for hybrid and multi-cloud environments. We develop cutting-edge cybersecurity technology that solves urgent customer needs today and is also a game changer for years to come.
Silverfort’s team includes exceptional researchers, engineers, and technology experts who successfully tackle some of the most complex challenges in cyber-security. Silverfort has happy customers worldwide, strong market validation (including several industry awards), strategic partnerships with the largest security vendors in the world, and significant funding from leading VCs.
The AI Solutions Engineer will be responsible for designing, building, and implementing AI-driven automation processes across various business units. You will work with advanced AI/ML models, natural language processing (NLP) techniques, predictive analytics, and custom automation frameworks to develop scalable, intelligent solutions that drive business innovation.
Responsibilities
- Develop and maintain AI-powered business workflows and automations
- Implement and manage intelligent integrations across internal business applications
- Collaborate with teams across the organization to understand requirements and translate them into automation solutions
- Monitor and enhance the efficiency of existing automations and AI-powered processes
- Stay updated on the latest business automation trends, AI tools, and best practices
Requirements
- BSc in Computer Science, Industrial Engineering, or equivalent military training.
- 3–5 years of experience in AI Development, Business Automation, or Integration Engineering.
- Strong programming proficiency (Python, JavaScript, SQL, data modeling).
- Hands-on experience with AI/ML libraries, NLP frameworks, and automation platforms.
- Deep understanding of APIs and system integrations (REST, SOAP, JSON, XML).
- Experience with RPA and AI-enhanced automation frameworks.
- Knowledge of Agent-Building frameworks is an advantage (e.g., LangGraph).
- Excellent problem-solving skills, analytical thinking, and technical communication.
Top Skills
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