Meet the Team:

Join a forward-thinking team that is transforming traditional analytics into AI-powered business intelligence solutions. Reporting to the AI Lead, the AI Engineer will play a critical role in designing, developing, and deploying advanced AI and machine learning models to drive innovation and efficiency. This position offers an exciting opportunity to work on cutting-edge technologies, including large language models (LLMs), deep learning, and automation frameworks, while contributing to impactful solutions that redefine organizational processes and decision-making through sophisticated data visualization and analytics platforms.

Who You Are

As an AI Engineer with a strong BI focus, you will be responsible for implementing AI solutions under the guidance of the AI Lead, while also developing robust business intelligence capabilities. Your role will involve hands-on development of machine learning models, data pipelines, and AI-driven applications that enhance data exploration and visualization. You will collaborate with cross-functional teams to integrate AI into existing BI systems and workflows while staying updated on emerging technologies. This role requires a strong technical foundation in both AI and analytics, problem-solving skills, and a passion for transforming complex data into actionable business insights.

Key ResponsibilitiesDevelop and deploy machine learning models across domains such as deep learning, NLP, computer vision, LLMs (e.g., GPT-4, Claude), and RAG (Retrieval-Augmented Generation).Design and build robust data pipelines and ML workflows in the Snowflake environment for training, evaluation, and deployment of AI models.Create advanced data visualizations and interactive dashboards using Tableau to communicate AI-driven insights to stakeholders.Optimize SQL queries for efficient data extraction and transformation in Snowflake, supporting both traditional BI and AI model development.Develop text-to-SQL capabilities using Snowflake Copilot and Cortex to democratize data access across the organization.Collaborate with the AI Lead to design and implement scalable AI-enhanced BI systems that align with business goals.Optimize prompts for LLMs and contribute to prompt engineering strategies for frameworks like LangChain and Hugging Face.Create multi-agent AI ecosystems that can automatically generate reports, analyze trends, and provide recommendations based on business data.Replace manual analytics workflows with AI-driven automation to streamline operations and reporting processes.Conduct experiments to evaluate model performance and iterate on solutions for continuous improvement of both AI models and BI dashboards.Work closely with internal teams to ensure seamless integration of AI solutions into existing BI processes and tools.Basic QualificationsBachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.3+ years of experience in BI and Analytics including hands-on experience developing machine learning models and deploying them in production environments.Advanced SQL skills with experience performing complex analysis, standardizing queries, and building large-scale relational datasets in Snowflake or similar MPP databases.Proficiency in Python programming with experience using machine learning frameworks such as TensorFlow or PyTorch.Demonstrated experience with Tableau or similar BI tools (Power BI, Looker) for creating dashboards and visualizations from complex datasets.Practical experience working with Snowflake for data warehousing, including understanding of performance optimization and data modeling best practices.Knowledge of GenAI frameworks such as LangChain or Hugging Face Transformers.Experience working with advanced techniques like RAG (Retrieval-Augmented Generation) or agent-based architectures.Familiarity with LLMs (e.g., OpenAI GPT models) and experience in prompt engineering or fine-tuning pre-trained models.Strong understanding of data engineering concepts, including data preprocessing and pipeline development.Experience with MLOps tools (e.g., Kubeflow) for model deployment and lifecycle management.Preferred QualificationsHands-on experience with Snowflake Copilot or Cortex Analyst for AI-powered data analysis.Familiarity with multi-agent systems and their application in solving complex BI tasks.Experience integrating AI capabilities into existing BI platforms and workflows.Knowledge of implementing text-to-SQL functionality to enable natural language queries against data warehouses.Experience building end-to-end data platforms that combine traditional BI and modern AI capabilities.Strong debugging skills and the ability to troubleshoot issues in ML pipelines or deployed BI systems.Excellent communication skills to collaborate effectively with cross-functional teams and stakeholders.Experience with cloud platforms (AWS, Azure, GCP) for deploying scalable AI and BI solutions

#WeAreCisco (This is the Standard and cannot be changed)

#WeAreCisco where every individual brings their unique skills and perspectives together to pursue our purpose of powering an inclusive future for all.

Our passion is connection—we celebrate our employees’ diverse set of backgrounds and focus on unlocking potential. Cisconians often experience one company, many careers where learning and development are encouraged and supported at every stage. Our technology, tools, and culture pioneered hybrid work trends, allowing all to not only give their best, but be their best.

We understand our outstanding opportunity to bring communities together and at the heart of that is our people. One-third of Cisconians collaborate in our 30 employee resource organizations, called Inclusive Communities, to connect, foster belonging, learn to be informed allies, and make a difference. Dedicated paid time off to volunteer—80 hours each year—allows us to give back to causes we are passionate about, and nearly 86% do!

Our purpose, driven by our people, is what makes us the worldwide leader in technology that powers the internet. Helping our customers reimagine their applications, secure their enterprise, transform their infrastructure, and meet their sustainability goals is what we do best. We ensure that every step we take is a step towards a more inclusive future for all. Take your next step and be you, with us!