Architect-AI Platform

What you will Do:

We 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 Development:

• Design, 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 Operations:

• Deploy, 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 Systems:

• Build 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 Integration:

• Leverage AWS Bedrock, SageMaker, and related services for training, inference, and MLOps.

• Integrate with enterprise data sources, vector stores, and secure API ecosystems.

What You Will Bring:

• 5+ years hands-on experience in Generative AI and AI/ML.

• 10 years plus 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 Certifications:

• Microsoft Certified: Azure AI Engineer Associate.

• AWS Certified Machine Learning – Specialty.

• Google Cloud Professional Machine Learning Engineer (optional).

• Relevant banking/fintech certifications (added advantage).

What’s In It For You:

• Pay 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 bestBe part of RAKBANK's future! Step into a role where your leadership, and strategic insights will directly shape the future of the bank. If you're ready to elevate your career with us, apply now!