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AI Lead (6 Months)

Transguard Workforce Solutions
Dubai, UAE
Contract
Entry
2 months ago
Months
Free

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Transguard Workforce Solutions

is the UAE’s leading provider of unique and innovative HR solutions.

With a decade of experience in the region and a team that possesses extensive knowledge of the market, we provide a fully integrated HR solution.

We are currently recruiting a

Ai Lead

for

6-Months

with an Insurance client, based out of their office in

Dubai

,

UAE.

Job Summary

As an AI Lead, you will own the end-to-end design and delivery of an agentic AI platform, integrating multi-agent systems, vision-language models, voice interfaces, and digital services into a scalable, compliant product.

You will act as the bridge between product strategy and technical execution, leading solution design, guiding external delivery teams, and ensuring architectural alignment across markets and regulatory environments.

Job Responsibilities

  • Lead end-to-end solution design for multi-agent AI systems, including orchestration, workflows, and RAG pipelines
  • Drive build vs. buy decisions, selecting the right models and platforms across cloud and on-prem environments
  • Design and implement multi-modal AI solutions combining text, vision, and voice
  • Define voice AI strategy (STT/TTS) and integrate conversational capabilities into workflows
  • Develop solutions using vision-language models (VLMs) for document and image processing
  • Ensure AI solutions are compliant by design (GDPR, PDPA, etc.) across multiple markets
  • Architect integrations with external tools, APIs, and partner systems
  • Lead and mentor external delivery teams, ensuring high-quality execution
  • Present technical direction and trade-offs to senior stakeholders and CXOs.

Job Requirements

  • 5-8 years of experience in AI solution design / applied AI / technical product roles
  • Proven delivery of production-grade multi-agent AI systems (AutoGen, CrewAI, LangChain, etc.)
  • Strong expertise in: LLMs (RAG, prompt engineering, orchestration, memory design), Multi-modal AI (text, vision, voice)
  • Hands-on exposure to: Vision-language models (VLMs), Voice AI (Whisper or similar STT/TTS tools), AI observability tools (Langfuse, LangSmith)
  • Experience with privacy-preserving AI (federated learning, differential privacy)
  • Experience leading vendors or distributed teams
  • Strong stakeholder management and communication skills

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