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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!
Requirements
- •5+ years hands-on experience in Generative AI and AI/ML
- •10+ years experience in Architecture, preferably in banking
- •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 (Bedrock, SageMaker)
- •Deep experience with LangChain and LangGraph
- •Experience with agentic frameworks (e.g., CrewAI)
Nice to Have
- •Familiarity with regulated environments in banking/financial services
- •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)
- •Microsoft Certified: Azure AI Engineer Associate certification
Responsibilities
- •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)
- •Deploy, scale, and optimize LLMs across Azure OpenAI, AWS, and hybrid setups
- •Implement guardrails (safety filters, policy enforcement, red-team testing)
- •Monitor LLMs for drift, abuse, and reliability
- •Build with LangChain and LangGraph (including bot/workflow orchestration)
- •Create evaluation frameworks for generative AI
Related Jobs
- Scan your CV for errors before RAK Bank sees it
- Get AI-rewritten bullet points
- Download Gulf-ready CV
60 seconds. $3.99 one-time.
RAK Bank is a leading public joint stock bank headquartered in Ras Al Khaimah, UAE. It offers a comprehensive range of retail, corporate, and investment banking solutions across the UAE.
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