Principal AI Architect

Travoom

. Lead the architecture, development, deployment, and ongoing evolution of AI initiatives across OleOle's global consumer SuperApp .

Posted 11/9/2026full-timeRemote • Texas • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in AI architecture, model development, and deployment, with a strong focus on building scalable and efficient AI systems. Proven ability to lead technical initiatives and collaborate with engineering teams to drive innovation in AI technologies.

Highest-signal resume keywords

10+ Years Of Software Engineering ExperienceExpert Proficiency In PythonExtensive Hands-On Experience With AI ModelsStrong Distributed-Systems Architecture ExpertiseTechnical Leadership In AI Initiatives

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningAI EngineeringModel Fine-TuningDeep Learning FrameworksGPU ComputingModel QuantizationBatchingInference PerformanceSupervised Fine-TuningModel Evaluation

Soft Skills

Technical LeadershipProblem SolvingCollaboration

Tools & Technologies

PyTorchLlamaQwenMistralVLLMTensorRT-LLMTriton Inference ServerLoRAQLoRACloud Infrastructure

Industry Keywords

AI InitiativesSuperAppReal-Time Multilingual TranslationSports Data EngineFootballInternational Sports

Tech Stack

Tools & technologies

CloudPythonPyTorch

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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