CyberArk - AI Platform Architect
**About CyberArk:**
CyberArk (NASDAQ: CYBR) is recognized as the global leader in Identity Security. Their comprehensive security solutions, centered on privileged access management, protect human and machine identities across business applications, distributed workforces, hybrid cloud environments, and the entire DevOps lifecycle. Leading organizations worldwide rely on CyberArk to safeguard their most vital assets. For more insights, explore CyberArk’s blogs or connect with them on X, LinkedIn, or Facebook.
**Job Overview:**
CyberArk is searching for an AI Platform Architect to define and establish the technical groundwork for the enterprise AI ecosystem. In this capacity, reporting to the Director of AI Technology within the IT Organization, you will set the architectural standards and core design principles essential for the secure, scalable, and responsible deployment of AI infrastructure and bespoke use cases throughout the organization. As a vital member of the IT AI technology team, you will guide the integration of enterprise-grade AI platforms with custom-developed components for reasoning, retrieval, orchestration, and agentic AI solutions, aligning with CyberArk’s broader digital and data environment. Your contributions will form the basis for a composable, extensible AI platform that drives high-impact business applications across the organization. Your focus will span two main areas: implementing low/no-code solutions to empower the wider workforce and defining/implementing technical platforms for advanced use-case development by developers and data scientists with AI expertise.
**Key Responsibilities:**
* Formulate and upkeep a modular, scalable AI architecture to empower the broader workforce in creating and deploying their own AI solutions, including AI Agents.
* Build systems facilitating the discovery, utilization, and traceability of AI/ML models and agents.
* Deploy budget and usage controls leveraging CyberArk and cloud security offerings.
* Direct the design of systems supporting extensive use-case development, encompassing AI/ML Model deployment, maintenance, and monitoring.
* Define architectural benchmarks for responsible AI, covering prompt versioning, access control, monitoring, and explainability.
* Guarantee secure, efficient, and governable interoperability between third-party platforms and internal services, fostering a unified and expandable AI ecosystem.
* Collaborate with IT and AI Transformation teams to align architectural decisions with business and platform strategy, reporting to the Director of AI Technology.
* Act as a primary technical consultant across engineering, security, data, and vendor teams, ensuring consistency, scalability, and compliance throughout the AI stack.
* #LI-Hybrid
* #LI-CR1
**Desired Skills & Experience:**
* Bachelor’s Degree and 7+ years of experience in software, AI/ML architecture roles, including experience designing large-scale distributed systems.
* Expertise in DevOps, Continuous Integration/Continuous Delivery (CI/CD), and orchestration tools such as Ansible, Terraform, Puppet, Jenkins, GitLab, or Azure DevOps.
* Proven experience in designing or integrating AI/ML architectures using third-party platforms like Kubeflow, MLflow, or Azure Machine Learning.
* Acquaintance with vector database solutions such as Pinecone or PGVector.
* Proficient in designing or integrating RAG (Retrieval-Augmented Generation) pipelines and retrieval systems, leveraging internal enterprise data.
* Familiarity with low-code/no-code Generative AI platforms (e.g., LangFlow, C3.AI, H2O.ai).
* Knowledge of at least one major cloud provider (Azure, AWS, or GCP), including their identity, security, and observability tools.
* Practical experience implementing access controls, model usage policies, and prompt logging mechanisms for responsible AI deployment.
* Robust communication and documentation abilities; capable of translating technical designs into actionable implementation plans.
* Possession of a Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, or a closely related field.