AI / GenAI Solutions Architect (25111)

Who We Are:

Yael Group is a leading group of companies in the Israeli market, providing advanced technological solutions across a wide range of domains to organizations in all sectors.

Job Description:

• Responsible for designing AI / GenAI solution architectures in an enterprise environment, including architecture definition, integrations, standards, and deliverables governance.

• Designing AI / GenAI / ML solutions for a medium-to-large organization.

• Defining GenAI architectures that include LLMs, RAG, Embeddings, Vector DBs, Agents, Prompt Orchestration, Evaluation, and Guardrails.

• Designing integrations with enterprise systems, APIs, data sources, core systems, and cloud/hybrid environments.

• Writing architecture documentation, including HLD, LLD, Design Patterns, and Reference Architecture documents.

• Working with vendors: evaluating solutions, challenging architectures, defining standards, and governing deliverables.

• Translating business requirements into practical, secure, and scalable technology solutions.

• Working closely with Data, Infrastructure, Cybersecurity, Development, Legal, Privacy, and Vendor teams.

Mandatory Requirements:

• 5+ years of experience in Solution Architecture, Data, Cloud, Information Systems, or complex systems development.

• Proven experience of 2–3 years in designing AI / GenAI / ML solutions in a medium-to-large organization.

• Strong understanding of GenAI architectures, including: LLMs, RAG, Embeddings, Vector DBs, Agents, Prompt Orchestration, Evaluation, and Guardrails.

• Experience designing integrations with enterprise systems, APIs, data sources, core systems, and cloud/hybrid environments.

• Experience working with at least one cloud platform: Azure / AWS / GCP.

• Understanding of Information Security, Privacy, Authorization, Logging, Auditability, and Data Classification.

• Ability to write architecture documents, including HLD, LLD, Design Patterns, and Reference Architecture.

• Experience working with vendors, including solution evaluation, architecture review and challenge, standards definition, and deliverables governance.

• Ability to translate business needs into practical, secure, and scalable technology solutions.

Preferred Requirements:

• Experience in healthcare, insurance, financial services, government, or other highly regulated environments.

• Familiarity with medical data, patient privacy, and clinical/service processes.

• Experience implementing RAG solutions in Production environments.

• Familiarity with healthcare standards such as FHIR, HL7, ICD, SNOMED, and DICOM.

• Experience with MLOps / LLMOps, model monitoring, evaluation, and Responsible AI.

• Hands-on development experience in one or more of the following languages: Python, TypeScript, Node.js, Java, or C#.

• Experience with Microservices, Serverless, Event-Driven Architecture, Pipelines, or Automation.

• Experience with Data Governance, Metadata Management, Data Quality, and Knowledge Management.