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