AI- Solution Architect (Azure Pre-sales) Dubai Saudi Arabia

Responsibilities

• 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.

Qualifications :

• 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.

Remote Work :

No

Employment Type :

Full-time