Summary: Lead AI Engineer to drive the development, implementation, and evolution of advanced AI capabilities, partnering with cross-functional teams to create robust, scalable solutions. Highlights: 1. Lead high-impact AI projects with significant organizational reach. 2. Drive the development of a shared AI platform emphasizing reusability. 3. Evaluate emerging AI/ML trends and integrate new tools and technologies. We are looking for a **Lead AI Engineer** to drive the development, implementation, and evolution of advanced AI capabilities that support a broad spectrum of strategic business initiatives across our organization. This role provides a unique opportunity to lead high\-impact AI projects by partnering deeply with cross\-functional teams to create robust, scalable solutions. **Responsibilities** * Lead the design, development, and delivery of AI systems and components tailored to diverse product and organizational needs * Define and prioritize product objectives into concrete technical strategies while contributing to team\-wide plans * Guide the creation, testing, and integration of AI solutions such as LLM\-based systems, RAG pipelines, intelligent agents, and orchestration architectures * Architect systems that extract structured insights, classify expansive datasets, and produce content aligned with enterprise\-wide ontologies * Drive the development of a shared AI platform emphasizing reusability, maintainability, and streamlined developer workflows * Optimize AI systems to ensure peak performance, cost\-efficiency, scalability, and operational stability * Evaluate emerging trends in AI/ML and lead the selection and integration of new tools and technologies * Facilitate collaboration with Product Managers and Engineering leaders, shaping requirements and technical approaches for complex initiatives * Provide clear, proactive communication on technical tradeoffs, challenges, risks, and alternatives * Take ownership of complex projects, ensuring timely delivery and guiding team members toward collective goals * Establish technical standards and best practices that balance speed, quality, and scalability **Requirements** * 6\+ years of professional software engineering experience * 3\+ years of experience designing, deploying, and scaling production AI/ML systems * Advanced proficiency in Go (preferred) or similar modern backend languages like Python, PHP, Java, or Scala * In\-depth familiarity with GenAI ecosystems, such as OpenAI, Anthropic, Hugging Face, or LangChain * Proven expertise in using LLMs for NLP tasks, including text analysis, structured extraction, summarization, and classification * Extensive experience working with cloud environments (AWS, GCP, or Azure) and building MLOps workflows at scale * Hands\-on experience with vector databases, inference engines, and robust data storage solutions * Strong SQL capabilities, with expertise in handling complex structured and semi\-structured datasets * English proficiency at a B2\+ level **Nice to have** * Familiarity with frontend frameworks such as React or Angular * Proven experience in designing internal systems leveraged across multiple teams and departments * Deep understanding of large\-scale taxonomies and ontologies for structured classification, tagging, or content generation * Experience managing structured data outputs (e.g., JSON schemas, validation frameworks, or output parsing systems)