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Key skills for this role
About the Role
RAKBANK seeks a hands-on Generative AI Architect to design and productionize AI solutions for banking. The role involves building RAG and conversational banking applications, deploying LLMs on Azure OpenAI and AWS, and developing agentic systems.
Key Skills for This Role
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) and monitor for drift, abuse, and reliability
- Troubleshoot performance issues and drive continuous reliability improvements
- 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
- Leverage AWS Bedrock, SageMaker, and related services for training, inference, and MLOps
Requirements
- 5+ 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)
Full Job Posting
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 RAG, conversational banking applications, and agentic AI systems 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.
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
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