Senior AI Solution Architect (Ref: 197699)

About the Role We are looking for a Senior AI Solutions Architect / Intelligent Automation Architect to lead the design and delivery of enterprise AI and intelligent automation solutions across the GCC. This is a hands-on, client-facing architecture role combining AI solution design, consulting, pre-sales and delivery leadership. You will work with senior stakeholders to identify high-value AI opportunities and translate business requirements into secure, scalable and production-ready solutions. Key Responsibilities • Architect end-to-end AI and Agentic AI solutions, from discovery and design through to production • Design solutions incorporating LLMs, RAG, vector databases, AI agents and orchestration frameworks • Assess AI readiness, identify use cases and evaluate technical and commercial feasibility • Support pre-sales activities, RFPs, proposals, workshops and customer presentations • Translate business requirements into solution architectures and technical roadmaps • Produce or oversee BRDs, solution designs and technical documentation • Provide technical leadership throughout project delivery • Ensure AI solutions meet security, governance and data residency requirements • Mentor and guide a small team of AI engineers and business analysts • Stay current with emerging AI technologies and identify opportunities to apply them within enterprise environments Required Experience • 8+ years of overall IT experience • 2–4+ years of hands-on experience focused on AI, GenAI, LLMs or Intelligent Automation • Proven experience architecting and delivering production-grade AI solutions end-to-end • Ability to clearly articulate 5–10 real-world AI use cases, including the business challenge, technical solution and measurable impact • Strong understanding of AI Agents, agentic workflows and orchestration • Hands-on experience with RAG architectures, vector databases and embeddings • Strong knowledge of LLM integration, prompt engineering and model training/fine-tuning concepts • Experience with Microsoft Copilot Studio, Azure AI Foundry, AWS Bedrock or equivalent platforms • Understanding of AI security, governance, guardrails and responsible AI • Experience working with enterprise or sensitive data environments Consulting & Leadership Skills • Strong business acumen and ability to translate between technical and non-technical stakeholders • Confident presenting AI strategies and solutions to senior executives and customers • Experience supporting pre-sales, RFPs and solution proposals • Strong stakeholder management and communication skills • Ability to lead, mentor and provide technical direction to AI engineering teams Desirable Experience • On-premise or sovereign cloud AI deployments • Local GPU infrastructure and AI workloads • Automation platforms such as Automation Anywhere • Enterprise Content Management / ECM platforms • Experience across multiple cloud and AI technology ecosystems • Government, financial services, healthcare or other regulated environments • Passion for emerging AI technologies and the evolution of Agentic AI Show more Show less

8+ years of overall IT experience; 2–4+ years of hands-on experience focused on AI, GenAI, LLMs or Intelligent Automation; Proven experience architecting and delivering production-grade AI solutions end-to-end; Ability to clearly articulate 5–10 real-world AI use cases, including the business challenge, technical solution and measurable impact; Strong understanding of AI Agents, agentic workflows and orchestration; Hands-on experience with RAG architectures, vector databases and embeddings; Strong knowledge of LLM integration, prompt engineering and model training/fine-tuning concepts; Experience with Microsoft Copilot Studio, Azure AI Foundry, AWS Bedrock or equivalent platforms; Understanding of AI security, governance, guardrails and responsible AI; Experience working with enterprise or sensitive data environments

Architect end-to-end AI and Agentic AI solutions, from discovery and design through to production; Design solutions incorporating LLMs, RAG, vector databases, AI agents and orchestration frameworks; Assess AI readiness, identify use cases and evaluate technical and commercial feasibility; Support pre-sales activities, RFPs, proposals, workshops and customer presentations; Translate business requirements into solution architectures and technical roadmaps; Produce or oversee BRDs, solution designs and technical documentation; Provide technical leadership throughout project delivery; Ensure AI solutions meet security, governance and data residency requirements; Mentor and guide a small team of AI engineers and business analysts; Stay current with emerging AI technologies and identify opportunities to apply them within enterprise environments