Senior AI Solution Architect: Lead Agent Systems

Malomatia; Doha; On-site; QAR 90,000 - 150,000; Full time

Job summary

Malomatia in Qatar seeks a seasoned AI Architect to define technical approaches for AI agents, orchestration, and responsible AI practices. You will work with engineering, product, and business stakeholders to bring cutting-edge AI capabilities to production.

You will lead architecture decisions across cloud platforms, guide PoCs, and mentor teams on agentic patterns, with a strong emphasis on governance, observability, and scalable LLM workloads.

Qualifications

• Bachelor's degree in CS/Engineering; Arabic speaker.
• 8+ years in software engineering or architecture roles.
• 3+ years hands-on experience building LLM-powered apps in production.
• Deep expertise in AI agent architectures, orchestration patterns, and workflow design.

Responsibilities

• Lead AI solutions design and implementation.
• Serve as the primary technical advisor on generative AI initiatives.
• Lead PoC development and architectural decision records.
• Mentor engineering teams on agentic AI patterns and best practices.
• Evaluate emerging technologies and maintain technical roadmaps.
• Design and architect AI agent systems and multi-agent workflows for enterprise use.
• Evaluate and implement agent frameworks including LangGraph, Microsoft Agent Framework, OpenAI Agents SDK, Google Agent-to-Agent (A2A).
• Architect tool-use patterns, function calling, MCP, and agent-to-agent communication protocols.
• Design for agent observability, debugging, and human-in-the-loop workflows.
• Design retrieval-augmented generation architectures and vector databases strategies.
• Design knowledge graphs and structured data integration with generative AI systems.
• Lead architecture decisions across cloud AI platforms including Azure AI Foundry, Google Vertex AI, OpenAI APIs, and open-source Gen AI models.
• Design prompt management, versioning, and optimization pipelines.
• Architect for multi-model strategies, model routing, and fallback patterns.
• Establish patterns for cost optimization, latency management, and scaling LLM workloads.
• Define evaluation frameworks for LLM applications and agent systems.
• Implement automated evaluation pipelines using frameworks such as RAGAS, DeepEval, and custom harnesses.
• Establish benchmarks for response quality, factual accuracy, task completion, and user satisfaction.
• Champion responsible AI practices including safety, fairness, transparency, and privacy.
• Implement guardrails, content filtering, and output validation systems.

Skills

AI architecture

LLM integration

Python

Async programming

Leadership

Stakeholder comms

Education

Bachelor's in CS/Engineering

Master's preferred

Tools

LangGraph

Semantic Kernel

OpenAI Agents SDK

Vertex AI

Azure AI Foundry

Job description

Malomatia in Qatar seeks a seasoned AI Architect to define technical approaches for AI agents, orchestration, and responsible AI practices. You will work with engineering, product, and business stakeholders to bring cutting-edge AI capabilities to production.

You will lead architecture decisions across cloud platforms, guide PoCs, and mentor teams on agentic patterns, with a strong emphasis on governance, observability, and scalable LLM workloads.