Head of AI / AI Lead

A leading group with a strong presence in both the hospitality and maritime shipping sectors: Head of AI

• →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.

• 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.