𝗦𝗲𝗻𝗶𝗼𝗿 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿 / 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁

We’re Hiring: Senior AI Engineer / Agentic AI Architect

Location: Riyadh, Saudi ArabiaWork Model: HybridExperience: 8–12+ years in Software Engineering, with 5+ years in AI/ML/GenAINotice Period: Maximum 1 monthWe are looking for a Senior AI Engineer / Agentic AI Architect to design, build, and deploy enterprise-grade AI solutions, with a strong focus on Agentic AI, LLMs, RAG, and AI platforms.The ideal candidate will combine strong software engineering expertise with hands-on experience building production-ready AI systems for enterprise environments, preferably within banking and financial services.Key Responsibilities

• Design and architect enterprise AI and Agentic AI solutions
• Build multi-agent systems for planning, reasoning, tool usage, and workflow orchestration
• Develop scalable RAG platforms using enterprise data
• Build production-grade AI APIs and backend services using Python
• Implement LLM evaluation, safety, observability, and governance frameworks
• Deploy and optimize open-source LLMs in production
• Optimize AI systems for latency, scalability, performance, and cost
• Collaborate with architects, product teams, BAs, and DevOps teams
• Mentor engineering teams and establish AI engineering best practicesCore Technical ExpertiseAgentic AILangGraph, CrewAI, OpenAI Agents SDK, AutoGen, Semantic Kernel, or LlamaIndexMulti-agent orchestrationTool calling and planningHuman-in-the-loop workflowsAgent memory and state managementLLMs & Generative AILLMs, Transformers, NLP, Deep LearningEmbedding modelsPrompt engineering and optimizationFunction calling and structured outputsContext and token optimizationRAG & SearchEnterprise RAG architectureHybrid, semantic, dense and sparse retrievalBM25, reranking, metadata filteringVector databases: Pinecone, Qdrant, Milvus, Weaviate, ChromaDBGraph databases: Neo4j, Neptune, MemgraphLLM Evaluation & ObservabilityRagas, DeepEval, TruLens, OpenAI Evals, LangSmithHallucination and groundedness detectionFaithfulness, relevance, context precision/recallLangSmith, Langfuse, Arize Phoenix, W&B, MLflowPrompt tracing, token/cost monitoring and production debuggingAI Infrastructure & DeploymentPython, FastAPI/FlaskREST APIs, microservices and asynchronous architecturesvLLM, TensorRT-LLM, TGI, SGLang, OllamaLlama, Mistral, Qwen, Gemma, DeepSeekGPU optimization, quantization, multi-GPU deployment and autoscalingMLOps & CloudDocker, KubernetesMLflow, KubeflowCI/CD and model versioningAWS, Azure or Google CloudAzure AI, AWS Bedrock, Vertex AIDatabasesPostgreSQL, Oracle, MongoDB, RedisElasticsearch / OpenSearchPreferred BackgroundExperience in banking, financial services, enterprise AI, Responsible AI, AI governance, or regulated environments is highly preferred.Knowledge of SAMA, NCA, or other financial-sector regulatory requirements will be an advantage.Experience with AI copilots, document intelligence, OCR, intelligent automation, or workflow platforms such as Appian, Camunda, or Pega is also a plus.What We’re Looking ForWe need someone who can architect, build, deploy, and own enterprise AI solutions end-to-end not just experiment with AI models.Strong communication, architecture skills, stakeholder management, problem-solving ability, and experience mentoring engineering teams are essential.Important: Candidates must be available to join within one month or less.📩 Interested candidates: Please send your CV and relevant project/portfolio details to careers@echodataai.com.#Hiring #AIJobs #AgenticAI #ArtificialIntelligence #GenerativeAI #LLM #RAG #AIEngineer #MachineLearning #SaudiArabia #Riyadh #TechJobs #BankingTechnology #AIArchitecture