Gérer les capacités de Business Intelligence et d’analytique chez Pharmascience. Conduire la stratégie et la livraison tout en promouvant l'innovation et la sécurité des données.
About the role
- AI Solution Architect designing and delivering AI-driven solutions for enterprise clients. Combining hands-on AI engineering with consulting in a dynamic consulting environment.
Responsibilities
- Design and implement AI-driven solutions, including LLM-based applications, agentic workflows, and automation systems
- Build multi-step data pipelines for document processing, transformation, validation, and error handling
- Develop semantic search and RAG-based solutions using embeddings, vector databases, and retrieval pipelines
- Engage with business stakeholders to understand complex workflows and identify opportunities for AI adoption
- Translate business requirements into scalable technical architectures and solution designs
- Ensure integration with enterprise platforms, data sources, and governance systems
Requirements
- University Undergraduate Degree and relevant experience
- Strong proficiency in Python (data pipelines, APIs, backend development)
- Experience building data engineering pipelines and scalable backend systems
- Strong SQL expertise (CTEs, joins, analytical queries)
- Hands-on experience with LLMs / Generative AI applications
- Experience with RAG (Retrieval Augmented Generation) architectures
- Strong understanding of Prompt engineering
- Exposure to cloud platforms (AWS/Azure) and modern data ecosystems
Benefits
- EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers.
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