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
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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