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.
Skills Required
- Bachelor’s degree plus 6 years of related AI/ML experience, or Master’s degree plus 4 years, or PhD plus 0 years
- Proficiency with LangChain, LangGraph, or other orchestration and agentic workflow tools
- Hands-on experience with vector databases and building or fine-tuning RAG pipelines
- Knowledge of hybrid search, reranking strategies, and context-window management
- Experience using Tavily or similar tools with LLMs for web research
- Familiarity with Google Vertex AI, AWS, Azure, or comparable AI cloud providers
- Knowledge of evaluating LLMs based on task complexity and upgrading models without performance loss
- Experience implementing safety layers and guardrails to prevent hallucinations and PII leakage
- Familiarity with building and deploying MCP servers
- Knowledge of connecting to deployed MCP servers to orchestrate workflows
- Experience developing and fine-tuning NLP models for customer matching and deduplication
- Experience with traditional NLP techniques, including text cleaning, text similarity, and clustering
- Knowledge of using LLMs with grounding
Cisco Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Cisco and has not been reviewed or approved by Cisco.
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Healthcare Strength — Health coverage is described as broad, with medical options including PPOs, high-deductible plans, and regional HMOs. Feedback suggests robust wellness and mental-health resources, with some locations offering on-site support and second medical opinions.
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Leave & Time Off Breadth — Time off is highlighted through paid holidays, paid time off, and additional recharge days such as “Days for Me,” with generous volunteer time also mentioned. Feedback suggests these programs help support rest, volunteering, and critical life events.
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Parental & Family Support — Parental and family support appears extensive, including paid child-bonding leave, family medical leave, and caregiving resources. Observations also point to family-planning assistance and adoption or surrogacy support in some regions.
Cisco Insights
What We Do
Cisco (NASDAQ: CSCO) enables people to make powerful connections--whether in business, education, philanthropy, or creativity. Cisco hardware, software, and service offerings are used to create the Internet solutions that make networks possible--providing easy access to information anywhere, at any time. Cisco was founded in 1984 by a small group of computer scientists from Stanford University. Since the company's inception, Cisco engineers have been leaders in the development of Internet Protocol (IP)-based networking technologies. Today, with more than 71,000 employees worldwide, this tradition of innovation continues with industry-leading products and solutions in the company's core development areas of routing and switching, as well as in advanced technologies such as home networking, IP telephony, optical networking, security, storage area networking, and wireless technology. In addition to its products, Cisco provides a broad range of service offerings, including technical support and advanced services. Cisco sells its products and services, both directly through its own sales force as well as through its channel partners, to large enterprises, commercial businesses, service providers, and consumers.
