Job Description
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 systemsall 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 best
Be 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! 
