Senior AI/ML Engineer - Generative and Agentic AI

About the role

Grant Thornton Greece is looking for a Senior AI/ML Engineer to join its AI Center of Excellence. You will design, build and deploy generative and agentic AI solutions, from LLM-powered applications to autonomous multi-agent systems, mainly on the Microsoft Azure AI stack (Azure AI Foundry). You will also apply classical ML techniques such as time-series forecasting and anomaly detection, and work with cross-functional teams to deliver secure, scalable AI systems built on responsible AI practices.

Key responsibilities

• Design, build and deploy production-grade agentic AI systems, multi-agent workflows, tool-using agents and orchestration pipelines using LangGraph, CrewAI and the Microsoft Agent Framework on Azure AI Foundry.
• Build robust GenAI architectures: RAG and agentic RAG pipelines, memory management, prompt engineering and tool integration via the Model Context Protocol (MCP).
• Work with foundation models (GPT, Claude, Gemini, Llama, Mistral), including fine-tuning with domain-specific datasets.
• Develop classical ML solutions such as time-series forecasting and anomaly detection, integrating them as callable tools in agentic workflows.
• Build automated pipelines for agent and model evaluation, observability, guardrails and responsible AI compliance.
• Write clean, scalable Python code with strong OOP principles and produce technical documentation.
• Provide technical leadership, mentor junior engineers and help shape the AI strategy.

Required profile

• 5+ years of hands-on experience in ML/DL projects, including 2+ years building and delivering GenAI/LLM applications in production.
• Proven experience designing and deploying agentic AI systems: multi-agent orchestration, tool calling, agent memory and state management, and agent evaluation.
• Strong command of Python with OOP principles, and experience with MLOps/LLMOps practices.
• Effective communication with technical and non-technical audiences, strong problem-solving skills, and a collaborative, self-motivated approach.

Required skills

• Azure AI ecosystem, ideally Azure AI Foundry and Azure Machine Learning.
• LLM development, prompt engineering, vector-based retrieval and RAG evaluation.
• Classical ML and deep learning (scikit-learn, PyTorch); time-series forecasting or anomaly detection is a strong plus.
• Familiarity with responsible AI concepts: fairness, transparency, AI governance and hallucination mitigation.
• Bonus: IBM watsonx and IBM Granite models, agent interoperability standards (MCP, A2A), real-time AI systems or low-latency inference, and Azure AI or machine learning certifications.

What we offer

• Diverse and inclusive workplace with a friendly, dynamic environment.
• Competitive salary and bonus, insurance program for all members, and fully funded training.
• Extra days off (August freedays, volunteering days, early leave days) and corporate sports teams.
• Employee discounts and a company car depending on job level.