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Urgent! Chief AI Architect Job Opening In Abu Dhabi – Now Hiring beBeeArtificialintelligence



Job description

About This Role

We are seeking a seasoned AI Architect with expertise in generative AI (GenAI) , AI/ML, and enterprise architecture.

This position is ideal for an individual who can design and deliver AI-powered solutions, lead cross-functional teams, and drive innovation across cloud, on-premises, and hybrid environments.

Main Responsibilities

  • Design and implement end-to-end AI/ML and GenAI solutions integrating with existing enterprise systems.

  • Lead a team of engineers across AI/ML, full-stack, and DevOps disciplines in Agile environments.

  • Drive technical decision-making across infrastructure, APIs, microservices, databases, and AI platforms.

  • Ensure successful deployment and scaling of AI solutions across on-premises, cloud, and hybrid architectures.

  • Act as a trusted advisor to business stakeholders, bridging technical depth with strategic vision.

Required Skills and Qualifications

Generative AI Leadership (3+ Years)

  • Expert-level experience with LLMs (LLaMA, Mistral, GPT, etc.), including fine-tuning and deployment.

  • Strong hands-on work with Agentic AI, multi-agent systems, and RAG implementations.

  • Proficiency with vector databases, LangChain, LangGraph, and modern GenAI toolchains.

  • Expertise in advanced prompt engineering and Chain-of-Thought techniques.

  • Proven track record delivering 3+ production-grade GenAI applications.

Ai/ml Foundation (4–5 Years)

  • Hands-on experience with Python, TensorFlow, and PyTorch for building production ML systems.

  • Full lifecycle management of ML models, from development to monitoring in production.

  • Seamless integration of AI/ML models into enterprise-grade applications and platforms.

Enterprise Architecture & Deployment (8+ Years)

  • Strong background in full-stack development (MERN stack or equivalent).

  • Deployment expertise across on-premises, cloud, and hybrid environments.

  • Advanced Kubernetes skills for orchestration and scaling.

  • Database expertise in SQL (PostgreSQL/MySQL) and NoSQL (MongoDB/DynamoDB).

  • Proven ability to design and manage APIs and microservices (REST, GraphQL).

  • DevOps proficiency with Docker, CI/CD pipelines, and infrastructure automation.

Cloud & Infrastructure

  • Deep knowledge of AWS, Azure, or GCP with ML/AI services.

  • AWS expertise highly valued: SageMaker, Bedrock, Lambda, API Gateway.

  • Strong grasp of hybrid cloud architectures integrating AI/ML workloads.

Benefits

  • Demonstrated ability to deliver enterprise-scale projects successfully in AI/ML and enterprise systems.

  • Solid experience in Agile/Scrum leadership, driving productivity and team performance.

Ideal Candidate Profile

  • Priority expertise:

    1. Generative AI Leadership

    2. AI/ML Foundation

    3. Enterprise Architecture & Hybrid Deployments

  • A strategic leader with hands-on depth, able to innovate, mentor, and deliver at scale.


Required Skill Profession

Other General



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