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
