Head of AI / AI Lead

A leading group with a strong presence in both the hospitality and maritime shipping sectors: Head of AI Responsibilities - Establish and lead the company's AI & Automation function, defining its strategy, roadmap, priorities, and operational framework. - Design, develop, and deploy AI-powered solutions and automation tools to optimize business processes and improve operational efficiency. - Develop automated data extraction solutions from maritime documents, including charter parties, Statements of Facts (SOFs), invoices, and survey reports, converting unstructured information into structured data. - Implement AI-powered systems for the summarization, classification, and management of incoming correspondence by vessel, subject, and operational case. - Develop dashboards and reporting tools to monitor fleet operational and financial performance. - Automate the preparation of documentation for legal advisors, banks, and insurance providers using standardized templates and AI-powered tools. - Build and deploy AI agents, scripts, and automated workflows to eliminate repetitive tasks and streamline internal processes. - Evaluate, select, and manage AI platforms, tools, and external technology providers, ensuring data security and appropriate access controls. - Establish and implement data governance policies, ensuring compliance with GDPR and relevant data protection requirements. - Collaborate with internal stakeholders to identify business needs, assess automation opportunities, and translate operational challenges into practical AI solutions. - Train and support employees in the effective and responsible use of AI tools. - Build and lead a dedicated AI team as the function evolves, overseeing recruitment, team development, and performance. - Take full ownership of AI projects from concept and development through deployment, monitoring, and continuous improvement. - Measure the impact of AI initiatives through clearly defined KPIs, focusing on efficiency gains, cost savings, and measurable business value. Requirements - Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related field. - 5–8 years of professional experience in software engineering, data engineering, or automation, including at least 2 years of hands-on experience developing and deploying LLM-based solutions in production environments. - Previous experience in a technical leadership role or in leading a small team. - Strong programming skills in Python, with practical experience in Git, REST APIs, and SQL. - Hands-on experience with AI/LLM APIs, including OpenAI, Anthropic, or Google, as well as prompt engineering, Retrieval-Augmented Generation (RAG), tool calling, and AI agents. - Practical experience with automation platforms such as n8n, Make, Zapier, or Power Automate, as well as webhooks. - Experience with OCR technologies and automated data extraction from PDFs, scanned documents, Excel, and CSV files. - Strong understanding of data security, API key management, access controls, and GDPR requirements in the implementation of AI solutions. - Ability to independently design, develop, and deploy functional AI tools from concept to production, without relying on a dedicated development team. - Strong analytical and problem-solving skills, with a pragmatic and results-oriented approach. - Excellent communication skills and the ability to translate complex technical concepts into practical business solutions. - Fluency in both Greek and English, written and spoken. - A hands-on mindset, strong ownership, and the ability to operate effectively in a dynamic and entrepreneurial environment. Nice to have: - Experience with TypeScript/JavaScript, Docker, and cloud platforms such as Azure or AWS. - Familiarity with Microsoft Graph API, Outlook, SharePoint, or Google Workspace APIs. - Experience with Power BI, Looker, or similar business intelligence tools. - Knowledge of LLM fine-tuning, evaluation frameworks, or open-source models. - Familiarity with ISO 27001 or other information security standards. - Previous experience in the maritime or shipping industry. Benefits - Annual Gross Compensation: Base Salary €50.000 - €70.000, with flexibility to go above this range for highly experienced profiles - Performance based bonus scheme - Career development and growth opportunities