Lead Data Engineer
Publicis Groupe (company site, opens in a new tab)8+ yrsBengaluruOn-siteDirect career pageEst. 30–45 LPA
Posted on 10 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and implement end-to-end Generative AI and LLM-based architectures integrated with enterprise data and applications, including scalable RAG workflows on cloud platforms.
- Develop and deploy LLMs and custom AI models using frameworks like LangChain, LlamaIndex, and Hugging Face, alongside building data pipelines for structured and unstructured data.
- Lead innovation by evaluating new AI/ML tools, mentoring teams, and ensuring scalability, reliability, and governance of AI and data pipelines.
Minimum Requirements
- 8+ years of experience including hands-on data engineering and Generative AI solution development.
- Bachelor’s or Master’s degree in Computer Science or a related field.
- Proficiency with Python, SQL, PySpark, and data pipeline design (ETL/ELT) plus AWS cloud services (SageMaker, Bedrock, Lambda, API Gateway).
- Proven expertise in Generative AI and LLM architectures, including frameworks like OpenAI, Anthropic, Hugging Face, LangChain, and LlamaIndex.
Ideal Candidate Profile
- Strong background in enterprise-scale AI solution architecture with practical experience deploying cloud-native Generative AI systems.
- Experienced in integrating various data types and ML pipelines with strong capabilities in vector search and semantic retrieval technologies.
- Capable of communicating complex AI concepts effectively to technical and non-technical stakeholders, with leadership experience mentoring data scientists and engineers.