AI Developer

About CyberArk:
CyberArk (NASDAQ: CYBR), is the global leader in Identity Security. Centered on privileged access management, CyberArk provides the most comprehensive security offering for any identity – human or machine – across business applications, distributed workforces, hybrid cloud workloads and throughout the DevOps lifecycle. The world’s leading organizations trust CyberArk to help secure their most critical assets. To learn more about CyberArk, visit our CyberArk blogs or follow us on X, LinkedIn or Facebook.

CyberArk is seeking a highly skilled AI Developer to design and implement AI-driven solutions as part of our internal Transforming How We Work program. In this role, you will build applications and pipelines that leverage large language models (LLMs) and enterprise data to drive intelligent automation and insights across the company. You will collaborate closely with our AI Machine Learning Engineer and Platform Architect to ensure solutions are scalable, well-architected, and seamlessly integrated into our internal developer platform. The ideal candidate will have a passion for using AI models, grounding them with relevant knowledge, and developing retrieval-augmented generation (RAG) pipelines with robust indexing for optimal performance. 

About the Team:  

The team provides support to the entire Transforming Our Work initiative by building, automating and maintaining internal infrastructure in a manner that enables “self-service”, low/no code and enterprise solutions. It consists of development in support of internal tools, infrastructure for testing and development and enterprise technology support for CI/CD, DevOps and orchestration.  

  We are currently looking for an AI Developer to join us in our work to create AI solutions on our internal platform. 

Responsibilities: 

• Design and Develop AI Solutions: Build and implement AI-powered applications and workflows on the internal AI platform that solve business problems and improve efficiency. 

• Fine-Tune LLMs: Customize and fine-tune large language models (e.g., GPT-style models) to address specific use cases and improve their performance for CyberArk’s needs. 

• Knowledge Grounding & Retrieval: Develop and optimize retrieval-augmented generation (RAG) pipelines, incorporating efficient retrieval systems to ground LLM outputs in accurate, up-to-date internal data. Create and maintain indexes (e.g., embedding vectors, knowledge bases) that enable fast and relevant information retrieval for AI solutions. 

• Collaborative Solution Building: Work closely with data scientists and the AI Machine Learning Engineer to integrate machine learning models into end-to-end solutions. Coordinate with the AI Platform Architect to ensure your solutions align with architectural standards for security, scalability, and governance, and with the AI Infrastructure Engineer to deploy, monitor, and maintain these AI solutions in production environments. 

• Testing and Iteration: Rigorously test AI models and applications, validate their accuracy and effectiveness (including handling of edge cases), and iterate based on feedback and performance metrics. 

• Monitor Performance: Monitor and evaluate the performance of deployed AI models and solutions, identifying areas for improvement and implementing necessary adjustments for accuracy, efficiency, and reliability. 

#LI-EB1

• Education: Bachelor’s degree in computer science, engineering, or a related field. 

• Experience: 3+ years of experience in software development or AI/ML engineering, with a track record of building or implementing AI-driven solutions. 

• LLM & RAG Expertise: Demonstrated experience working with large language models and natural language processing, including fine-tuning models and applying retrieval-augmented generation techniques to ground AI outputs in relevant data. 

• Analytical Skills: Strong ability to analyze complex data and model performance metrics, identifying and resolving issues to improve outcomes. 

If several of the following apply to you, there’s a high chance that you’d be a fit for our team:  

• You care about best practices and what it takes to write and maintain great code 

• You care about managing technical debt  

• You get end-to-end with solutions early to de-risk them  

• Feedback loops – especially with real users – are a highly valued asset  

• You love to quickly adopt new tools and languages  

• You have curiosity about the AI landscape and continuously learn

CyberArk is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status. 

We are unable to sponsor or take over sponsorship of employment Visa at this time.

The salary range for this position is $95,000 – $140,000/year, plus commissions or discretionary bonus, which will be based on the employee’s performance. Base pay may also vary considerably depending on job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits.