Senior Solution Architect

Senior Solution Architect – Applied AI (Dubai, Onsite) Category: Digital Engineering – Cloud Native Development Location: Dubai, UAE Employment Type: Full-Time Job Details Work Mode: Onsite, 5 days/week (Dubai) Relocation: Offshore candidates must have a valid passport and be willing to relocate. Notice Period: Immediate to 30 days (or serving notice). Interview Process: 3 technical rounds via video. About the Role We are seeking a Senior Solution Architect to lead Applied AI initiatives across the enterprise. You will anchor how LLM and agentic AI capabilities are designed, built, and deployed, working hands-on with code, frameworks, and stakeholders. This is a technical leadership role requiring both architectural vision and practical engineering depth. Responsibilities Partner with stakeholders to translate business problems into technical solutions. Own end-to-end solution architecture for LLM and agentic systems (orchestration, retrieval pipelines, MCP integrations, tool design). Build working prototypes to validate designs before full-scale implementation. Continuously evaluate emerging AI platforms, frameworks, and models. Lead and mentor Applied AI engineers, setting technical direction and standards. Establish engineering practices for observability, evaluation, release, and compliance. Collaborate with IT Security, Data Governance, and Legal to ensure scalable, auditable solutions. Required Skills & Experience 10+ years in technical roles (Solutions Architect, Technical Lead, Senior Engineer). Hands-on experience delivering LLM/agentic AI solutions to production (not just PoCs). Strong enterprise integration background (APIs, event-driven patterns, pipelines, cloud architecture). Proficiency in Python plus one additional language (TypeScript, C#, or Java). Familiarity with: Cloud AI Platforms: Azure AI Foundry, Azure OpenAI, AWS Bedrock, Google Vertex AI Agent Tooling: Copilot Studio, Power Platform, Power Automate, Azure AI Agent Service Frameworks: LangGraph, Semantic Kernel, OpenAI Agents SDK, Claude Agent SDK, Pydantic AI Retrieval & Knowledge: Azure AI Search, pgvector, LlamaIndex, GraphRAG, Neo4j, Qdrant, Pinecone Evaluation & Observability: Promptfoo, DeepEval, Ragas, LangSmith, Langfuse, Azure AI Evaluation Engineering Tools: FastAPI, React, Docker, Kubernetes, Azure DevOps, GitHub Actions Data Platforms: SQL, Kafka/Event Hubs, Databricks/Fabric, Snowflake Experience in security-conscious or regulated environments. Strong stakeholder management skills (engineers + executives). Machine learning/data science background is a plus.