AI Operations Engineer

Job description

Meet the Team Today’s challenging business environment is more than that – it’s a period of disruption between global business change and internal process complexity. For us to focus on simplicity and the best customer experience, we need great talent and the right skillsets to be successful. This is now a mantra for our Cisco leadership team and for us. Enterprise Data & AI Enablement team is changing the way we run Cisco’s operations by improving the power of technology, the best of business processes and outstanding data insights using AI. Together, we will Reimagine the Cisco experience. Show the world how to Reinvent applications and demonstrate the future of the Internet to Showcase the power of Cisco: our people, products, processes, systems, and data. Please join us and make this journey together ! Your Impact : As an AI/ML/LLM Engineer for Enterprise Data & AI Enablement team you will : Develop and fine-tune natural language processing (NLP) models for customer matching, deduplication Build and optimize MLOps pipelines to streamline AI/ML workflows Integrate large language models (LLMs) into enterprise systems Contribute to technical decision-making for AI tools and frameworks Stay current on emerging AI technologies and contribute to proof-of-concept projects Data Processing and Management: Working with large datasets, preprocessing data, and ensuring its quality and accuracy for model training. Model Deployment and Monitoring Deploying machine learning models into production environments and continuously monitoring their performance, adjusting as needed. Staying Current with Advancements: Keeping up with the latest developments in AI and ML technologies, including new algorithms, frameworks, and best practices Minimum Qualifications: Bachelors + 6 years of related experience in AI/ML, or Masters + 4 years of related experience in AI/ML, or PhD + 0 years of related experience Proficiency in LangChain/LangGraph or other Orchestration and agentic workflow Hands-on experience with vector databases, building and fine tuning RAG pipelines Knowledge of hybrid search (semantic + keyword), reranking strategies, and "Context Window" management. Experience of using Tavily or other tools in conjunction with LLM for web research Familiarity with Google Vertex AI or other providers like AWS, Azure Knowledge in evaluating LLM based on task complexity and upgrade to newer models without loss of performance. Preferred Qualifications Implementing safety layers using guardrails to prevent hallucinations and PII leakage. Familiarity in building and deploying MCP Servers Knowledge to connect to a deployed MCP servers to orchestrate workflows. Develop and fine-tune natural language processing (NLP) models for customer matching, deduplication Experience in traditional NLP based techniques including text cleaning, text similarity, clustering Knowledge of using LLM with Grounding Why Cisco? At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Disclaimer To ensure that we hire the best talent in the right way, we follow a strict hiring process and recently, Cisco has been made aware of fraudulent recruiters claiming to be from the company. Please be advised that any communication from Cisco about careers will: be in direct response to an application you have submitted through the company career site begin with screening or an interview originate from a Cisco email address, and be conducted across email, phone, or WebEx Cisco will never make a job offer without conducting an interview process or ask you for money in any way. If you have been requested to apply for a role or have received an offer from a site other than https://careers.cisco.com or cisco.wd5.myworkday.com, do not provide any personal identifying information, including your Aadhaar or other personal identifying number, birth certificate, banking information, driver's license, or passport. If you are the target of a recruiting scam, consider filing a report with your local law enforcement authorities. Cisco bears no responsibility, and cannot be held liable, for any claims, damages, expenses, or other inconvenience resulting from or in any way connected to recruiting scams.