Senior Consultant - AI Solution Architect Doha, Qatar Posted on 08/26/2026 Trending

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

Trending

Job Description

To define technical approach to AI agents, orchestration frameworks, and responsible AI practices while working closely with engineering teams, product managers, and business stakeholders to bring cutting-edge AI capabilities to production.

Responsibilities

• Lead AI solutions design and implementation
• 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), and emerging standard
• 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

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field; Master's preferred. 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
• Strong experience with at least two of the following: LangChain/LangGraph, Microsoft Semantic Kernel/Agent Framework, OpenAI Agents SDK, Google Vertex AI Agent Builder
• Proven experience designing and implementing Advanced RAG Systems and Agentic AI
• Proficiency in Python and experience with 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

Preferred Qualifications

• Experience implementing Model Context Protocol (MCP), Google Agent-to-Agent (A2A) protocol, and multi-agent communication patterns
• Experience building AI Evals pipelines and AI quality assurance systems
• Knowledge of advanced RAG techniques: query decomposition, multi-hop reasoning, GraphRAG
• Experience with AI observability tools
• Background in AI safety, red-teaming, or responsible AI implementation.

Skills & Competencies

• Systems thinking with ability to design for complexity and emergence in agentic systems
• Strong communication skills to convey AI concepts to diverse audiences
• Pragmatic approach balancing innovation with production readiness
• Ability to rapidly learn evolving AI technologies
• Commitment to ethical AI development and user safety
• Collaborative mindset with ability to influence across organizational boundaries

About Us

About Malomatia

malomatia is a leading Qatar-based IT services and solutions provider, bringing together top Qatari and international talent to deliver innovative, end-to-end technology solutions that empower clients to achieve their strategic goals.

Our mission

Empowering Qatar's businesses and governments to leap into the digital future with agile, knowledge-driven solutions.

Our vision

To become Qatar's trusted knowledge partner in digital transformation, disrupting industries, shaping the future, and building a world-class tech ecosystem.

Driving change that makes a real impact

Since 2008, malomatia has been driving Qatar's digital transformation through innovative, ISO-certified IT solutions. With expertise across key public and private sectors, we empower the nation's vision with advanced services in cloud, cybersecurity, AI, and contact center excellence, elevating the role of technology in shaping Qatar's sustainable future.

About the Team

Established in 2008, malomatia is a Qatari leader in IT services and digital transformation. We serve key sectors including Government, Healthcare, Education, Customs, and Transportation, delivering impactful solutions that support national development goals. Powered by a diverse team of skilled Qatari and international IT professionals, we deliver innovative, high-value digital solutions tailored to the unique needs of our clients.

Our mission is to inspire customers to thrive through digital excellence, and we envision becoming the trusted partner of choice in building a smarter society through technology and talent. We are driven by core values that define our culture and approach: ownership, integrity, empathy, teamwork, transparency, agility, excellence, trust, and innovation.

Established in 2008, malomatia is a Qatari leader in IT services and digital transformation. We serve key sectors including Government, Healthcare, Education, Customs, and Transportation, delivering impactful solutions that support national development goals. Powered by a diverse team of skilled Qatari and international IT professionals, we deliver innovative, high-value digital solutions tailored to the unique needs of our clients.

Our mission is to inspire customers to thrive through digital excellence, and we envision becoming the trusted partner of choice in building a smarter society through technology and talent. We are driven by core values that define our culture and approach: ownership, integrity, empathy, teamwork, transparency, agility, excellence, trust, and innovation.

Join us in shaping the future of technology in Qatar