CTO Office AI Architect

At JFrog, we’re reinventing DevOps to help the world’s greatest companies innovate – and we want you along for the ride. This special place has a unique combination of brilliance, spirit, and all-around great people. At JFrog, if you’re willing to do more, your career can take off. With software at the heart of everyone’s lives, you’ll be part of an important mission. Thousands of customers, including most of the Fortune 500, trust JFrog to manage, accelerate, and secure their software delivery from code to production – a concept we call “liquid software.” Wouldn’t it be amazing if you could join us on this journey? Join a team of Architects at JFrog’s CTO Office, where you’ll have the unique opportunity to contribute to strategic technical leadership and the development of next-generation technologies for modern software release management, driving the industry forward. As an AI Architect at JFrog, you will… Design, develop, and implement various LLM-based solutions to address business needs and objectives Collaborate with key organizational stakeholders to understand AI requirements and design end-to-end AI solutions Explore and experiment with novel LLM techniques and architectures to drive innovation Evaluate and recommend AI tools and frameworks to enhance productivity and effectiveness Ensure the scalability and reliability of LLM-based system architectures Provide technical guidance and mentorship to development teams on AI and ML technologies and practices Influence the AI priorities of the company. Your decisions will shape our future direction in AI, making this a role of significant impact. To be an AI Architect at JFrog, you need… Bachelors or higher degree in Computer Science, Data Science, or a related field Proven experience in LLM-based application architectures Proficiency in AI/ML tools and frameworks such as OpenAI Models and APIs, Hugging Face Transformers, LangChain, Vector DBs, PromptPerfect/PromptBase, Guardrails, or similar Experience with cloud platforms like AWS, Google Cloud or Azure Proficiency in Python Experience with taking LLM-based applications to production Excellent problem-solving abilities and analytical skills Strong communication and team collaboration skills