System Architect
Summary
Hands-on role designing and delivering end-to-end Enterprise AI solutions, focusing on RAG, agentic workflows, and LLM integrations while managing security and scalability requirements.
Jeen empowers enterprises with generative AI through advanced AI agents, automations, voice analytics, and knowledge-based insights across any cloud or on-premise environment. Trusted by industry leaders shaping tomorrow's technological landscape.
About the Role
Jeen is looking for a hands-on System Architect to own the technical design and delivery of end-to- end solutions on the Jeen AI platform for complex Enterprise customers. You will work directly with customers to translate business, data, security, and technical requirements into scalable, production- ready systems that run in the customer's cloud or on-prem environment.
Responsibilities
• Lead technical discovery and translate business requirements into end-to-end system architectures.
• Design solution components, data flows, integrations, and operational workflows, from the user's browser to the customer's systems of record.
• Design how each solution is deployed and run: Kubernetes namespaces, networking, ingress, secrets, databases, CI/CD and GitOps, scaling, and observability.
• Design integrations with customer systems, APIs, data sources, identity providers, and IT infrastructure, across cloud, on-prem, and air-gapped environments.
• Build security into every layer: authentication and authorization, network isolation, encryption, secret management, and audit trails for sensitive data.
• Connect solutions to Jeen's AI layer (LLM gateway, RAG, agents), following the evaluation and guardrail standards set by Jeen's AI architecture team.
• Lead architecture workshops and technical discussions with customers' IT, security, and architecture teams.
• Provide technical leadership to Development and Delivery teams throughout implementation, installation, troubleshooting, and production readiness.
• Build prototypes, POCs, and production components hands-on, using AI coding tools.
Requirements
• 5+ years of experience in Software Engineering, System or Solutions Architecture, Platform or DevOps Engineering, or a related hands-on technical role, including at least 2 years designing systems that run on Kubernetes in production.
• Proven experience designing and delivering end-to-end Enterprise systems, from design through installation to production.
• Hands-on production experience with Kubernetes: deployments, networking, ingress, secrets, autoscaling, and troubleshooting.
• Strong understanding of relational databases such as PostgreSQL: data modeling, schema migrations, access control, high availability, and backups.
• Strong understanding of APIs, Enterprise integrations, data flows, and distributed systems.
• Strong understanding of Enterprise environments, including security, identity (SSO, OAuth, OIDC), networking, and cloud/on-prem/hybrid architectures, with hands-on experience in at least one major cloud (Azure, AWS, or GCP).
• Experience leading technical discovery and architecture discussions with Enterprise customers, including their security and architecture teams.
• Excellent communication skills in Hebrew and English.
Preferred Qualifications
• Experience with OpenShift or air-gapped on-prem installations.
• Hands-on experience with LLM-based systems, such as RAG, agentic workflows, LLM gateways, or search/knowledge solutions.
• Experience taking Generative AI solutions from POC to production.
• Familiarity with LLM evaluation, observability, and guardrails.
• Experience with Helm, GitOps (Argo CD), message queues, vector databases, or data pipelines.
• Experience designing solutions for regulated or security-sensitive environments, such as finance, healthcare, government, or defense.
