Architect-AI Platform

What You Will Do

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!