Principal AI Architect
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Job Description
Principal AI Architect building production AI systems for OleOle's global football fan social and messaging SuperApp. Leading model architecture, fine-tuning, GPU optimization, and deployment at scale.
Responsibilities:
- Lead the architecture, development, deployment, and ongoing evolution of AI initiatives across OleOle's global consumer SuperApp
- Establish the overall AI architecture
- Lead initiatives including AskOle, real-time multilingual translation, AI-powered sports history and content generation, the sports data engine, and future AI capabilities
- Determine how models, technologies, and infrastructure should work together efficiently, reliably, and at global scale
- Provide technical leadership alongside engineering teams and specialized AI engineers
- Develop, fine-tune, optimize, integrate, and deploy AI models and systems
- Build an adaptable, cost-efficient AI foundation without dependence on a single AI provider or technology
- Make critical architectural decisions, write code, solve difficult engineering problems, and deliver functioning AI systems
- Identify, evaluate, and implement emerging AI technologies for new products, capabilities, and business opportunities
Requirements:
- 10+ years of software engineering, machine learning, or AI engineering experience
- Demonstrated principal-level technical leadership
- Extensive hands-on experience developing, training, fine-tuning, and deploying production AI models
- Expert proficiency in Python, PyTorch, transformer architectures, and deep learning frameworks
- Experience with open-source foundation models, including Llama, Qwen, Mistral, or equivalent
- Strong experience with LoRA, QLoRA, supervised fine-tuning, model evaluation, and optimization
- Deep knowledge of GPU computing, model quantization, batching, memory management, and inference performance
- Production experience with vLLM, TensorRT-LLM, Triton Inference Server, or comparable inference technologies
- Strong distributed-systems architecture and cloud infrastructure expertise
- Ability to independently build and deploy complex AI systems
- Experience leading engineering initiatives and establishing technical standards across multiple AI projects
- Comfortable with deferred compensation and uncertain funding timelines
- Willingness to travel
- Understanding of football and international sports is a huge plus
Benefits:
- Compensation accrued and payable following funding
- After funding, transition to a regular/competitive salary
- Equity ownership
- OleX token participation/ownership in the OleOle group of companies
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