AI Architecture Lead (LLMs, AI APIs, Python, NodeJS)

What you'll doAI Strategy & ImplementationOwn AI integration roadmap: identify, evaluate, and implement AI solutions using existing models (LLMs, pre-trained models, AI APIs)Product AI features: design and ship AI-powered data extraction, intelligent data validation, automated analytics and reporting, and benchmarking enhancements.Operations AI: implement automation for daily workflows (documentation, code assistance etc.), customer support, marketing.Pragmatic AI enablement: deliver AI use cases with measurable ROI and safe guardrails (e.g., document/contract parsing, anomaly detection in audits, QA/test generation).Technical ArchitecturePartner with Product: shape architecture and delivery for freight contract management, freight audit, tendering simulations, and analytics.Platform architecture: contribute to secure multi-tenant design, APIs, data models, and observability/SRE practices.Data & pipelines: ensure data pipelines, quality, versioning, and privacy are solid; enable insight-ready data for AI features and dashboards.Cloud & infrastructure: guide evolution toward containerized workloads and modern IaC; ensure reliability and scalability for AI workloads.Collaboration & InfluenceTechnical advisory: run design reviews, demo progress to stakeholders, and de-risk decisions early.AI literacy: build internal AI knowledge — train teams on effective AI tool usage and establish governance frameworks.Cross-functional work: collaborate with engineering, customer success, and marketing teams across time zones (Vietnam, Europe).Team leadership:Mentor engineers, recruit key hires, and foster a collaborative, ownership-driven culture across time zones.Your Skills and Experience