Senior AI Engineer

Що робити

Vision & Strategy: Develop and continuously refine the long-term vision , driving innovation, user-centricity, and strategic alignment with Company's broader business goals;
AI & System Architecture: Lead the design and development of AI-driven architecture, ensuring scalability, robustness, and cutting-edge technology integration across ML, NLP, data pipelines, and automation components;
Cross-Functional Collaboration: Partner closely with stakeholders from product, design, engineering, and business units to ensure Navigator’s roadmap aligns with business needs and delivers tangible value across Company;
Platform Innovation: Keep Navigator at the forefront of technology by
incorporating emerging trends in agentic AI, multi-modal interfaces, generative AI, and autonomous orchestration;

Deep AI Expertise: Deep knowledge of machine learning techniques, NLP, LLMs, and data-driven AI architectures, with hands-on experience designing and deploying complex AI systems;
AI Tech Stack: Proficiency with AI development tools and frameworks such as Azure ML, PyTorch, TensorFlow, LangChain, and transformer-based models;
Cloud Infrastructure: Advanced experience with Azure-based cloud ecosystems and Kubernetes-based orchestration for scalable AI workloads;
Production-Grade AI Systems: Experience with vector search (e.g., Milvus), real-time APIs, embedded analytics, and third-party integrations (e.g., MS Graph API, Copilot Studio);
System Design and Architecture: Expertise in designing scalable, secure, and fault-tolerant AI systems, including familiarity with microservices, API management, and real-time data processing;