Senior Consultant - AI Solution Architect

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.

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
• 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