AI Architect (1007665)

Elad Software Systems specialize in managing and executing end-to-end projects and offer business solutions to help companies strengthen their relationships with end-clients and improve customer experience through innovative, high-quality solutions.

We work through three different channels:

Data | CRM | Digital

Our Advantage – As a project-driven company with extensive experience across various industries, we are always at the forefront of technology, offering innovative and tailor-made solutions to meet our clients' business needs.

Our Team – Our experts are the Dream Team! Each team member brings professional expertise, dedication, and a commitment to delivering successful end-to-end projects.

We are seeking a talented and experienced AI Architect to join our team and lead the design and implementation of advanced Agentic AI and LLM-based solutions in complex enterprise environments.

Job Description:

• Translate business needs and processes into AI and Agentic solution architectures, including Agents, Tools, Orchestration, and Human-in-the-Loop workflows.
• Design and implement LLM-based solutions, including RAG, Knowledge Indexes, and Vector Search.
• Architect advanced Agentic AI solutions using Multi-Agent Orchestration, Planner/Executor patterns, Memory, and State Management.
• Design integrations between AI Agents and enterprise systems, services, and APIs.
• Collaborate with business stakeholders, development teams, Data/AI, infrastructure, and cybersecurity teams.
• Present architectural designs, technical decisions, and solution recommendations to senior stakeholders.

Requirements:

• Proven experience designing, architecting, and implementing complex enterprise technology solutions – Mandatory.
• Proven delivery of at least 2 production-ready Agentic AI or LLM-based automation solutions with measurable business outcomes – Mandatory.
• Hands-on experience with Azure AI Foundry or equivalent platforms, including LLM model selection and deployment, Agent Services, RAG, Tool/Function Calling, and MCP integrations.
• Experience with at least one of the following frameworks: Semantic Kernel, LangGraph, AutoGen, or Azure AI Foundry Agent Service.
• Strong understanding of Agentic AI architecture patterns, API architecture, cloud services, and distributed systems.
• Strong knowledge of cloud and AI security principles, including Authentication & Authorization, Secrets Management, access permissions, and secure data access.

Advantages:

• Experience securing GenAI and LLM-based solutions, including protection against Prompt Injection, data leakage, Agent permissions, and secure Tool usage.

Don't miss out on this amazing opportunity to grow and succeed with us! Please submit your CV to [email protected]