Data Scientist – Agentic AI Engineer

Data Scientist – Agentic AI Engineer

We're seeking an individual with strong expertise in Agentic AI, Generative AI, and Machine Learning Engineering to join our team. In this role, you will design and build innovative and ethically responsible Agentic AI solutions that effectively address real-world problems, balancing technical feasibility with user needs and business impact. Working at the intersection of natural language processing and machine learning, you will contribute to developing AI solutions that directly impact patient outcomes and Philips' growth in the healthcare sector.

Your Role

• Design, develop, and deploy agentic AI systems and autonomous AI workflows using large language models and advanced reasoning architectures
• Design, train, and evaluate NLP and LLM-based solutions for various use cases, including retrieval-augmented generation (RAG), information retrieval & search, chatbots, structured information extraction, named entity recognition, text generation, summarization, and more
• Clean, preprocess, and curate data for evaluation, fine-tuning, and training
• Work closely with stakeholders across the organization to understand business needs, formulate problems, and deliver data-driven insights
• Keep up with the latest advancements in generative AI research and integrate new techniques into the development process

You Are Fit If

• You hold a master’s or Ph.D. in Computer Science, Data Science, or a related field
• You have at least three years of hands‑on experience developing AI/ML systems, with significant experience in LLMs, Generative AI, or AI agents in a professional or enterprise environment
• You are proficient in Python and relevant libraries for data science and deep learning (e.g., NumPy, Pandas, TensorFlow, PyTorch)
• You have a strong understanding of classic NLP and LLM-based approaches and hands‑on experience with LLM-based architecture, such as RAG, prompt engineering, data synthesis, automatic evaluation, fine‑tuning, and agent frameworks
• Hands‑on experience building and then iteratively refining model pipelines end-to-end, from data curation to evaluationFamiliar with cloud computing platforms
• Experience with at least one GenAI platform (OpenAI, Claude, Mistral, etc.)
• Excellent communication skills and a collaborative mindset are essential
• Strong analytical and problem‑solving skills, with attention to detail, round out your profile

How We Work Together

We believe that we are better together than apart. For our office‑based teams, this means working in‑person at least 3 days per week. On‑site roles require full‑time presence in the company’s facilities. Field roles are most effectively done outside of the company’s main facilities, generally at the customer’s or supplier’s locations. This role is an office‑based role.