Architect-AI Platform

What you will DoWe are seeking a hands‑on Generative AI Architect / LLM Solutions Architect to design, develop, and productionize advanced AI solutions for the banking sector in the UAE. The ideal candidate excels with Azure OpenAI, multi‑cloud platforms, and modern frameworks for Retrieval‑Augmented Generation (RAG), conversational banking applications, and agentic AI systems—all within a regulated financial environment.AI Application DevelopmentDesign, build, and productionize RAG and conversational banking applications.Handle sensitive financial data with strong security, privacy, and compliance controls.Write high-quality, production‑grade Python code (testing, CI/CD, observability).LLM Deployment And OperationsDeploy, scale, and optimize LLMs across Azure OpenAI, AWS, and hybrid setups.Implement guardrails (safety filters, policy enforcement, red‐team testing) and monitor for drift, abuse, and reliability.Troubleshoot performance issues and drive continuous reliability improvements.Frameworks And Agentic SystemsBuild with LangChain and LangGraph (including bot/workflow orchestration).Develop agentic applications using frameworks such as CrewAI.Explore and implement agent‑to‑agent protocols and emerging standards.Create evaluation frameworks (offline/online evals, human‑in‑the‑loop, safety/quality metrics).Iterate on prompts, RAG pipelines, and guardrails based on evaluation outcomes and user feedback.Multiple‑Cloud And Platform IntegrationLeverage AWS Bedrock, SageMaker, and related services for training, inference, and MLOps.Integrate with enterprise data sources, vector stores, and secure API ecosystems.Qualifications5+ years hands‑on experience in Generative AI and AI/ML.10+ years experience in architecture, preferably in the banking industry.Strong Python development skills and production engineering best practices.Proven experience productionizing RAG and conversational banking applications.Expertise in Azure OpenAI and LLM deployments (guardrails, monitoring, compliance).Proficiency with AWS AI/ML platforms, including Bedrock and SageMaker.Deep experience with LangChain and LangGraph; demonstrated bot/workflow development.Experience with agentic frameworks (e.g., CrewAI) and building agentic applications.Demonstrated capability in evaluations for generative AI (quality, safety, business KPIs) and iterative improvement.Familiarity with regulated environments in banking/financial services (security, privacy, auditability).Experience with MCP servers and MCP server security.Familiarity with agent‑to‑agent protocols and other upcoming generative AI standards.Understanding of UAE Central Bank guidelines, data privacy obligations, and enterprise risk frameworks.Strong knowledge of observability (logging, tracing, metrics) and scaling AI systems.Comfortable collaborating with security, compliance, data, and product teams.Preferred CertificationsMicrosoft Certified: Azure AI Engineer Associate.AWS Certified Machine Learning – Specialty.Google Cloud Professional Machine Learning Engineer (optional).Relevant banking/fintech certifications (added advantage).BenefitsPay for performance culture (Competitive and performance‑linked compensation).Provision of medical care plan for your family and you.Comprehensive Life insurance plan.Diverse workforce and inclusive culture.Career development and growth opportunities by design.Work with the best minds in the field.Get opportunities to bring your whole‑self to the organization and perform to your best.#J-18808-Ljbffr