Principal AI Architect

🔥 16 minutes ago

🤠 Texas – Remote

🤠 Texas – Remote

⏰ Full Time

🔴 Lead

🤖 AI Engineer

👻 Ghost score 13%

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Travoom

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📣 Marketing

✈️ Travel

Consulting • Marketing • Travel

Travoom is a trusted domain and service provider that has been in operation since 1999. The company offers a variety of digital services, including domain registration, web hosting, and collaboration tools through platforms like Google Workspace. Additionally, Travoom specializes in aiding corporate brands to manage, monitor, and protect their digital assets. The company is highly regarded and has been recognized as the Best Corporate Domain Registrar by financial strategists.

📋 Description

• 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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