Projects
AI Solutions Architect
Build with us at the edge of enterprise AI, where product, trust, and real operational impact meet.
- Location
- Tel Aviv
- Employment Type
- Full-time
- Experience Level
- Senior
- Department
- Projects
About the Role
Jeen is looking for a hands-on Enterprise AI Solutions Architect to own the technical design and delivery of end-to-end AI solutions for complex Enterprise customers. You will work directly with customers to translate business, data, security, and technical requirements into scalable, production-ready AI architectures.
Key Responsibilities
- Lead technical discovery and translate business requirements into end-to-end AI solution architectures.
- Design solution components, data flows, integrations, model interactions, and operational workflows.
- Define the right AI approach, including RAG, agentic workflows, orchestration, model selection, evaluation, and fine-tuning, balancing quality, security, scalability, latency, and cost.
- Design integrations with customer systems, APIs, data sources, identity services, and IT infrastructure.
- Define evaluation, guardrails, observability, monitoring, governance, and security requirements.
- Lead architecture workshops and technical discussions with customers and internal teams.
- Provide technical leadership to Development and Delivery teams throughout implementation, troubleshooting, and production readiness.
- Build prototypes and POCs, troubleshoot technical issues, and validate architectural decisions through code when needed.
Requirements
- 5+ years of experience in Software Engineering, Solutions Architecture, AI Engineering, or a related hands-on technical role.
- Proven experience designing and delivering end-to-end Enterprise software or AI solutions.
- Hands-on experience with LLM-based systems, including RAG, agentic workflows, search/knowledge solutions, or similar AI applications.
- Strong understanding of APIs, Enterprise integrations, data flows, databases, and distributed systems.
- Strong understanding of Enterprise environments, including security, identity, networking, and cloud/on-prem/hybrid architectures.
- Experience leading technical discovery and architecture discussions with Enterprise customers.
- Excellent communication skills in English.
Preferred Qualifications
- Experience taking Generative AI solutions from POC to production.
- Experience with LLM evaluation, observability, and guardrails.
- Experience with Kubernetes, microservices, vector databases, search technologies, or data pipelines.
- Experience designing solutions for regulated or security-sensitive environments.