Lead AI Solution Architect for Generative Agent Systems

Malomatia; Doha; On-site; QAR 300,000 - 550,000; Full time

Job summary

Malomatia seeks a senior AI architect to define technical approaches for AI agents, orchestration, and responsible AI in collaboration with engineering, product, and business teams.

You will lead PoCs, mentor teams on agent patterns, and drive roadmaps across Azure Vertex AI, OpenAI APIs, and other Gen AI platforms for enterprise applications. Fluency in English is required; Arabic language skills are a plus.

Qualifications

• Bachelor's degree in CS, engineering or related field; Arabic speaker.
• 8+ years of experience in software engineering or architecture roles.
• 3+ years of hands-on experience building LLM-powered applications in production.
• Deep expertise in AI agent architectures, orchestration patterns, and workflow design.
• Proficiency in Python and async programming patterns.
• Hands-on experience with cloud AI platforms (Azure AI Foundry or Google Vertex AI).
• Strong understanding of Gen AI models fundamentals including prompting, fine-tuning, context windows, and token economics.

Responsibilities

• Serve as the primary technical advisor on generative AI initiatives.
• Lead proof-of-concept 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 cases.
• 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 architect vector database solutions, embedding strategies, implement chunking strategies, hybrid search, and re-ranking approaches for optimal retrieval performance.
• 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 comprehensive evaluation frameworks for LLM applications and agent systems.
• Implement automated evaluation pipelines using frameworks such as RAGAS, DeepEval, and custom evaluation 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.
• Design for prompt injection prevention, data leakage protection, and secure agent execution.
• Ensure compliance with emerging AI regulations and industry standards.

Skills

AI agent architectures

Python

Async programming

Cloud AI platforms

LangChain / LangGraph

OpenAI APIs

Communication

Agent orchestration

Education

Bachelor's degree in CS/Engineering

Master's preferred

Tools

LangChain

LangGraph

Microsoft Semantic Kernel

OpenAI Agents SDK

Google Vertex AI Agent Builder

Job description

Malomatia seeks a senior AI architect to define technical approaches for AI agents, orchestration, and responsible AI in collaboration with engineering, product, and business teams.

You will lead PoCs, mentor teams on agent patterns, and drive roadmaps across Azure Vertex AI, OpenAI APIs, and other Gen AI platforms for enterprise applications. Fluency in English is required; Arabic language skills are a plus.