About the role: Join our rapidly growing Data Practice as we build cutting-edge Generative AI solutions for clients across industries. In this role, you’ll work hands-on with multi-disciplinary teams to design, prototype, and deliver AI solutions that tackle real business challenges. You’ll collaborate closely with clients, taking them on the journey from early adoption to full-scale deployment, blending technical expertise with a strong consultative approach. We’re looking for someone with deep experience in NLP and Generative AI (including RAG), who can combine critical thinking, creativity, and technical skill to solve complex problems. You’ll act as a trusted advisor, translating technical possibilities into business impact while ensuring strong client relationships built on credibility and empathy. Skills And Experience Required Proven experience in LLM / Generative AI and RAG projects, ideally in a leadership or senior delivery role. 4 years in a data science or related role, with hands-on NLP experience. Fluent in Python, capable of rapidly prototyping solutions and delivering production-ready code. Familiarity with Azure data services and cloud-based AI infrastructure. Knowledge of best practices in model tuning, drift monitoring, and optimization. Strong consulting and stakeholder management skills; able to break down complex business problems and propose clear technical solutions. What You Will Do Collaborate with clients to understand business needs and identify where Generative AI can add value. Lead prompt engineering and chain-of-thought reasoning to build LLM-based solutions. Implement Resource-Augmented Generation (RAG) solutions, optimizing chunking, metadata, and retrieval processes. Ensure all solutions follow Responsible AI principles. Rapidly develop demos to showcase the potential of Generative AI. Contribute to the development of Ascent’s GenAI methodology, frameworks, and accelerators. Be an active member of Ascent’s Data Science and Generative AI communities, helping to evolve our capabilities and share knowledge across the organization.