
Lead AI Architect
- Al Bateen, Abu Dhabi
- Permanent
- Full-time
- Design Generative AI systems leveraging GANs, VAEs, and transformer-based models for content synthesis, simulation, and data augmentation
- Architect Agentic AI frameworks using LangChain, Hugging Face, GCP Agentspace, Azure AI Foundry, AWS Bedrock, and vector databases to enable autonomous problem-solving and adaptive learning
- Implement Agentic Mesh ecosystems where AI agents collaborate dynamically, combining language, behavioral, and domain-specific capabilities
- Develop novel techniques for LLM/SLM fine-tuning, including retrieval-augmented generation (RAG) and context-aware prompt engineering
- Optimize inference performance for real-time applications using MLOps pipelines and cloud-native deployment using native PaaS
- Lead R&D initiatives in neurosymbolic AI, mechanistic interpretability, and ethical guardrails for autonomous systems
- Work with high performance teams in deploying AI systems that redefine industry standards (e.g., healthcare diagnostics, financial forecasting, supply chain resilience).
- Collaborate on publishing whitepapers and patents on emergent AI architectures, emphasizing sustainability and bias mitigation
- PhD in Machine Learning, Computational Neuroscience, or AI Ethics (or niche MSc with 8+ years in complex AI systems)
- 7+ years building production-grade AI systems using:
- Generative AI: PyTorch Lightning, Hugging Face Transformers, Stable Diffusion, Open AI, Grok etc
- Agentic AI: Hugging Face, Nvidia Toolkits, Hyperscaler AI agent services, LangChain, vector databases, MCP, A2A protocols etc
- LLM/SLM Optimization: LoRA, QLoRA, and RLHF techniques
- Proven ability to design multi-agent systems with emergent collaboration capabilities
- Lateral thinker with patents/publications in ICML, NeurIPS, or AAAI demonstrating unconventional problem-solving
- Portfolio of projects showcasing 10x efficiency gains through AI-driven process reinvention
- Fluency in ethical AI frameworks (EU AI Act, OECD AI Principles)
- Contributions to open-source AI projects (e.g., LangChain, AutoGPT, Hugging Face)
- Experience with neuromorphic computing or quantum machine learning integration.
- Advisory roles in AI policy committees or standardization bodies.
- Lead groundbreaking projects at the intersection of Generative AI and Agentic Autonomy.
- Large base of diverse customers and real world usecases to solve
- Technical whitepaper demonstrating original thinking in AI architecture
- GitHub repository showcasing complex system designs
- Doctoral thesis abstract (if applicable)