AI 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 / Machine Learning (ML) solutions for medium-to-large organizations.

• Defining GenAI architectures, including LLMs, RAG, Embeddings, Vector Databases, Agents, Prompt Orchestration, Evaluation, and Guardrails.

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

• Writing architecture documentation, including High-Level Design (HLD), Low-Level Design (LLD), Design Patterns, and Reference Architectures.

• Working with vendors to evaluate solutions, challenge architectural designs, define standards, and review deliverables.

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

• Collaborating with Data, Infrastructure, Cybersecurity, Development, Legal, Privacy, and external vendor teams.

Mandatory Requirements:

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

• Proven 2–3 years of experience designing AI / GenAI / Machine Learning (ML) solutions in medium-to-large organizations.

• Strong understanding of GenAI architectures, including LLMs, RAG, Embeddings, Vector Databases, 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 public cloud platform: Azure, AWS, or GCP.

• Understanding of Information Security, Privacy, Identity & Access Management, Logging, Auditability, and Data Classification.

• Ability to write architecture documentation, including HLD, LLD, Design Patterns, and Reference Architectures.

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

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

Preferred Requirements:

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

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

• Experience implementing Production-grade RAG solutions.

• 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 architectures, Event-driven Architecture, Pipelines, or Automation.

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