The Marketing AI Administrator is responsible for the day-to-day operation, optimization, and business alignment of the company’s AI chatbot platform used by both internal and external users. This role ensures the chatbot is accurate, compliant, and continuously improving , while delivering measurable business value across marketing, sales,customer support. The AI Administrator acts as the bridge between business stakeholders translating business needs into effective AI behavior. Key responsabilities: Platform Administration & Security Azure OpenAI Management: Lead the administration of our AI instances, managing model versions (e.g., GPT-4o), API integrations, and system uptime. Security & Data Guardrails: Implement robust filters to prevent \"hallucinations\" and ensure the bot never leaks sensitive company or customer data. Access Control: Manage user permissions and ensure the system complies with global data privacy (GDPR/CCPA). Performance & Response Optimization Latency & Speed: Monitor and optimize \"Time to First Token\" to ensure the chatbot responds instantly to user queries. Advanced Prompt Engineering: Design, test, and version-control complex system prompts to maintain the bot’s persona and task accuracy. Knowledge Integrity & Data Management Grounding Data Ownership: Curate and update the \"Knowledge Base\" (FAQs, PDFs, Product Manuals, Website Information) that the AI uses to answer questions. Quality Assurance: Regularly audit bot responses for tone, brand alignment, and factual correctness. Governance, Training & Roadmap KPI Tracking: Define and report on success metrics: Deflection Rate, CSAT, Accuracy Rate, and Usage Growth. Change Management: Create \"Best Practice\" guides and training for internal teams to help them get the most value out of the AI tool. Required Qualifications: Experience: 3–6+ years managing AI chatbots, Enterprise Apps, or Digital Products. Hands-on experience with Azure OpenAI Service or Microsoft Copilot is a must. Degree in computer science, IT engineering, or marketing. Technical Skills: Deep understanding of Prompt Engineering and LLM \"Grounding\" Familiarity with API-driven architectures and data indexing. Ability to interpret telemetry/analytics to improve system performance. Familiar with website and content management Understanding of operating in ashboard driven system and driving metrics Soft Skills: High attention to detail, strong business judgment, and the ability to explain complex AI concepts to non-technical stakeholders, ability to balance innovation with risk management and the ability to execute project management driving projects forward. Tools: Azure Portal, Microsoft 365 Suite, Dynamics 365, Copilot and AI Orchestration tools.