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indeed

AI Architect

Svaraa Jewels
Abu Dhabi, UAE
Full-time
Onsite
AED 20,000 - 22,000/month
Discovered 3 days ago
Conversational AIAgentic AIAI voice agents and chatbotsSpeech-to-Text and Text-to-SpeechRAG architecture and LLM orchestrationLLM inference optimization

Full Job Posting

Position overview

Design, deploy, optimize, and scale production-grade AI solutions focused on conversational AI, agentic AI, LLM inference, and NVIDIA GPU infrastructure.

The role requires hands-on production implementation; general GenAI knowledge, prompt engineering, or DevOps experience alone is insufficient.

Location and work mode

  • Based 100% onsite in Abu Dhabi, UAE.
  • Immediate or short-notice joining is preferred.

Employment and compensation

  • Full-time, long-term employment.
  • Monthly salary is AED 20,000–22,000, depending on skills and experience.
  • Benefits include UAE employment visa subject to requirements, medical insurance, applicable air ticket, and other standard employment benefits.

Key responsibilities

  • Design conversational AI, agentic AI, and enterprise LLM solutions; develop voice agents, chatbots, and real-time STT/TTS systems.
  • Build RAG pipelines and orchestration; deploy and optimize inference using vLLM, Hugging Face TGI, and TensorRT-LLM.
  • Tune PagedAttention, KV cache, batching, GPU utilization, quantization, and distributed inference.
  • Architect NVIDIA GPU infrastructure and deploy workloads on Kubernetes using GPU Operator and MIG.
  • Support bare-metal clusters, scaling, production reliability, monitoring, observability, and troubleshooting.
  • Collaborate with engineering and business teams to deliver secure, reliable production AI solutions.

Technical requirements

  • Mandatory expertise includes conversational and agentic AI, voice agents, chatbots, STT/TTS, RAG, LLM orchestration, and production deployments.
  • Required inference technologies include vLLM, Hugging Face TGI, TensorRT-LLM, PagedAttention, KV cache, continuous batching, FP8, INT4, AWQ, and GPTQ.
  • Required GPU expertise includes NVIDIA H100, H200, and A100, distributed inference, tensor and pipeline parallelism, and GPU tuning.
  • Required platform and monitoring skills include CUDA, Triton, FlashAttention, Kubernetes, NVIDIA GPU Operator, MIG, bare-metal clusters, Prometheus, Grafana, and DCGM.

Candidate eligibility

  • At least five years of relevant hands-on technical experience and demonstrable production deployment and operation of AI/LLM solutions.
  • Strong understanding of GPU-accelerated inference and performance optimization.
  • Ten or more years is preferred for Senior/Lead Architect candidates.
  • Candidates based in the UAE or India and immediate or short-notice joiners are preferred.
  • Must meet applicable UAE work authorization, visa, and client deployment requirements.

Candidate submission and interview

  • Submissions should include an updated CV highlighting AI/LLM implementations, current location, onsite willingness, salary details, notice period, and a summary of production experience.
  • Include relevant projects involving vLLM, TensorRT-LLM, GPU optimization, or AI voice agents.
  • The process includes technical screening and a detailed client interview; same-day technical interviews may be arranged.

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