Data Engineer

Data Engineer The application window is expected to close on: August 23, 2025 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Meet the Team: We are a high-performing Data and Analytics team on a mission to drive growth of recurring business for Cisco and embed AI into every layer of our decision-making. By demonstrating machine learning, large language models (LLMs), and automation, we're redefining how data powers innovation and efficiency at scale. Your Impact: As a Data Engineer, you will help design and develop enterprise-scale Data Engineering & AI solutions that fundamentally transform how Cisco's Customer Experience, Sales, and Finance teams operate. You’ll transform ETL workflows with ML automation and build multi-agent AI systems to supervise critical metrics, generate dashboards, and drive insights in real time. You'll perform technical implementation for AI initiatives and contribute to our organization's AI maturity and innovation culture. About you To be successful in this role, you’d be a role model who exemplifies our culture and embraces our principles. You will work with: Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data. Develop robust ETL (Extract, Transform, Load) processes to integrate data from diverse sources into our data ecosystem. Implement data validation and quality checks to ensure accuracy and consistency. Design and implement sophisticated AI agent orchestration systems using Lang Graph and Lang Chain for enterprise-scale automation Design MLOps infrastructure and governance frameworks ensuring reliable, scalable AI model deployment Lead integration of innovative LLMs into enterprise systems, including custom fine-tuning and optimization strategies. Design and maintain data models, schemas, and database structures to support analytical and operational use cases. Optimize data storage and retrieval mechanisms for performance and scalability. Evaluate and implement data storage solutions, including relational databases, NoSQL databases, data lakes, and cloud storage services. Minimum Qualifications Bachelor's in Computer Science, Engineering, AI/ML, Data Science, or equivalent 8+ years of related development experience, or Master's with 5+ years Confirmed experience in data engineering, software development, building AI Agents or related roles with minimum 5 years of experience. Proficiency in programming languages commonly used in data engineering (e.g., SQL(Snowflake), Teradata, Sophisticated Python, Java, Scala, etc.). Solid understanding of database systems, data modeling techniques, and SQL proficiency. Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud Platform, etc.). Preferred Qualifications 2+ years of operational experience in developing and deploying AI/ML solutions in enterprise production environments. Experience with large language models (LLMs), transformer architectures, and advanced AI frameworks Familiarity with LangChain, LangGraph, and modern AI orchestration platforms. Advanced degree or equivalent experience in AI/ML, Computer Science, or related technical field Deep knowledge of vector databases, retrieval-augmented generation (RAG), and semantic search systems. Expertise in generative AI, prompt engineering, and model fine-tuning techniques Experience with responsible AI practices, model governance, and enterprise AI ethics frameworks Experience with multi-agent AI, Snowflake Cortex, and MLOps tools like Kubeflow.

Salary : $86,000 - $124,000