AI Solution Architect

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 9 years, we have diligently fostered the largest Data Science Community in Eastern Europe, boasting a network of over 30,000 AI top engineers.

About the client:

We are working with a new generation of data service provider, specializing in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organizations. The company’s data-driven services are built upon the deep AI expertise the company’s acquired with a 1000+ client base around the globe. The company has 1000 employees across 20 offices who are focused on accelerating digital transformation.

About the role:

We are looking for an AI Solution Architect & AI Engineer (LLM, RAG) to join a large-scale enterprise project in Abu Dhabi. The role involves designing, developing, and implementing advanced AI solutions, integrating models into enterprise applications, and ensuring scalable deployment of intelligent systems.

Required skills:

– 7+ years of experience in Data Science or Machine Learning, preferably with a focus on NLP.
– Advanced degree (Master’s or PhD) in Computer Science, Computational Linguistics, Machine Learning, or a related field is highly preferred.
– Experience in designing and building AI architectures using LLMs, RAG, and multi-agent systems.
– Experience with VLLMs, LLMs, SLMs, Knowledge RAG, Graph RAG.
– Experience with Vector DBs, Graph DBs.
– Proficiency in prompt engineering, Model Fine-tuning/Distillation, Agentic AI Modeling.
– Proficiency in Python and common data science and NLP libraries (pandas, NumPy, scikit-learn, spaCy, NLTK, langdetect, fasttext).
– Strong experience with deep learning frameworks such as PyTorch or TensorFlow for building NLP models.
– Experience deploying machine learning models in production (e.g., using REST APIs or batch pipelines) and integrating with real-world applications.
– Experience working in a collaborative, cross-functional environment and strong communication skills.

Responsibilities:

– Design and build AI architectures using LLMs, RAG, and multi-agent systems.
– Develop and deploy AI/ML models for production use.
– Collaborate with cross-functional teams to integrate AI systems into existing solutions.
– Ensure performance optimization, scalability, and maintainability of deployed AI systems.

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