AI- Solution Architect (Azure Pre-sales) Dubai/ Saudi Arabia
About the role
• Lead technical discovery with client business, data, security and technology stakeholders; convert business priorities into qualified AI use cases, solution requirements and a practical delivery approach. • Design secure, scalable enterprise architectures for generative AI, agentic AI, conversational AI, intelligent search, document intelligence and AI-enabled applications using the Microsoft cloud stack. • Build working demonstrations, accelerators and proof-of-concepts using production-relevant patterns—not only mock-ups—to validate feasibility, user experience, integration and expected value. • Own the technical workstream of RFPs, RFIs and proposals, including architecture, solution narrative, scope, assumptions, dependencies, non-functional requirements, effort estimates, bill of materials and delivery risks. • Define RAG, grounding, tool-use, memory, orchestration, evaluation, observability and human-in-the-loop patterns appropriate to each use case. • Assess model and platform choices across quality, latency, throughput, security, data residency, responsible AI and cost; explain the trade-offs clearly to both technical and executive audiences. • Present solutions in workshops, solution reviews, demonstrations and bid presentations; respond credibly to detailed questions from enterprise architecture, cybersecurity and procurement teams. • Work with account, industry and delivery teams to shape opportunities, identify reusable assets and position differentiators without overcommitting scope or capability. • Support technical due diligence, implementation planning and handover after award, ensuring that proposal commitments are understood, feasible and traceable into delivery. • Maintain current knowledge of Microsoft AI services, reference architectures, licensing and emerging agentic patterns, and turn that knowledge into reusable pre-sales assets. • 7+ years of professional experience across software engineering, cloud architecture, AI/ML engineering or enterprise solution consulting. • At least 3 years of hands-on experience specifically designing and building generative AI solutions using large language models, including enterprise RAG and/or AI agents. • Demonstrable experience delivering AI or advanced analytics solutions beyond proof-of-concept stage, with a strong understanding of production engineering, security, monitoring and operational support. • Strong hands-on development capability in Python and APIs/SDKs; experience with C#/.NET is advantageous. • Deep understanding of LLM application patterns: prompt and context engineering, embeddings, vector and hybrid retrieval, tool/function calling, structured outputs, agent orchestration, evaluation and guardrails. • Experience integrating AI solutions with enterprise applications, APIs, databases, document repositories and identity platforms. • Strong knowledge of cloud security, Entra ID, managed identities, private networking, secrets management, role-based access control, data privacy and responsible AI controls. • Proven client-facing experience in discovery, solution presentations, technical writing, estimation and proposal development for complex enterprise opportunities. • Ability to produce clear architecture diagrams, sequence flows, assumptions, sizing models and implementation plans under bid deadlines. • Excellent written and verbal English; able to challenge requirements constructively and communicate complex concepts without unnecessary jargon.