About Xebia

Xebia is a trusted advisor in the modern era of digital transformation, serving hundreds of leading brands worldwide with end-to-end IT solutions. The company has experts specializing in technology consulting, software engineering, AI, digital products and platforms, data, cloud, intelligent automation, agile transformation, and industry digitization. In addition to providing high-quality digital consulting and state-of-the-art software development, Xebia has a host of standardized solutions that substantially reduce the time-to-market for businesses.

Xebia also offers a diverse portfolio of training courses to help support forward-thinking organizations as they look to upskill and educate their workforce to capitalize on the latest digital capabilities. The company has a strong presence across 16 countries with development centres across the US, Latin America, Western Europe, Poland, the Nordics, the Middle East, and Asia Pacific.

Here’s a LinkedIn‑ready job description tailored for a Senior Data Scientist (6–14 years) with Snowflake Cortex AI and AWS Bedrock as mandatory skills, plus strong GenAI / RAG / LLM experience.
The tone is professional, modern, and attractive for senior talent.

🚀 Senior Data Scientist – GenAI & LLM

Experience: 6–14 Years
Location: India (Hybrid/Onsite as applicable)

We are looking for a Senior Data Scientist with deep expertise in Generative AI to design and scale next‑generation AI solutions. The ideal candidate will have hands-on experience with Snowflake Cortex AI and AWS Bedrock, and a strong foundation in RAG architectures, LLMs, NLP, and Deep Learning.

This role is ideal for someone who enjoys solving complex business problems using cutting-edge AI technologies and working closely with stakeholders to drive real-world impact.

🔑 Key Responsibilities

Design, build, and deploy Generative AI solutions using Snowflake Cortex AI and AWS Bedrock
Architect and implement Retrieval-Augmented Generation (RAG) pipelines for enterprise use cases
Develop and fine-tune Large Language Models (LLMs) for domain-specific applications
Apply NLP and Deep Learning techniques for text understanding, summarization, classification, and conversational AI
Optimize prompt engineering, embeddings, vector databases, and inference pipelines
Collaborate with data engineers, product teams, and business stakeholders to translate requirements into AI-driven solutions
Ensure scalability, security, and performance of AI systems in production
Mentor junior data scientists and contribute to best practices and AI governance

✅ Mandatory Skills & Experience

6–14 years of experience in Data Science / Applied AI roles
Strong hands-on experience with Snowflake Cortex AI (mandatory)
Hands-on experience with AWS Bedrock and foundation models (mandatory)
Proven experience designing RAG architectures
Solid understanding of LLMs, prompt engineering, embeddings, and vector search
Strong background in NLP and Deep Learning
Proficiency in Python and modern ML/AI frameworks
Experience deploying AI/ML solutions in production environments