Meet the Team
Join a high-performing team that is transforming the way Cisco delivers enterprise data, analytics, and AI-driven business solutions. Our organization builds next-generation platforms that power critical business capabilities across Sales, Customer Success, Services, Renewals, and Enterprise Agreements. We are at the forefront of leveraging Generative AI, Agentic AI, Machine Learning, and modern cloud technologies to automate complex workflows, accelerate engineering productivity, and deliver intelligent business insights at scale. As part of this team, you will shape Cisco's AI strategy by designing innovative solutions that solve real business challenges while influencing enterprise-wide technology adoption.
Your Impact
Join our team as a Data Engineer focused on modern data and AI solutions. This role offers the opportunity to work on high-impact platform modernization and AI initiatives from design through production.
- Build and optimize Snowflake and dbt data pipelines using advanced SQL and Python.
- Design and integrate enterprise data engineering and AI solutions, including LLM, RAG, and AI Agent use cases.
- Develop and manage complex system integrations and Control-M workflows across enterprise platforms.
- Partner with architects, engineers, and business stakeholders to deliver secure, scalable, and production-ready solutions.
- Contribute to platform modernization, data quality, automation, and AI innovation across the enterprise.
Minimum Qualifications (Provide up to five (5) bullet points - these should be clearly defined, objective, non-comparative, relevant, and quantifiable to appropriately evaluate applicants – not including soft skills):
- Bachelor’s or master’s degree in Computer science, Data Science, Artificial Intelligence, Engineering, or a related technical field.
- 3+ years of experience in data engineering, solution architecture, or enterprise application development, including 2+ years delivering AI/ML or Generative AI solutions.
- Hands-on experience developing data solutions using Snowflake, dbt, advanced SQL, and Python, including enterprise data pipelines and integrations.
- Experience with LLMs, Generative AI, RAG, or AI Agents, with exposure to cloud platforms such as AWS, Azure, or Google Cloud.
- Experience delivering enterprise-scale integrations and modernization initiatives, including APIs, Control-M, SAP HANA, SIT, data validation, and production deployment.
Preferred Qualifications (Provide up to five (5) bullet points: these can include soft skills)
- Experience implementing Agentic AI, AI copilots, intelligent automation, or enterprise knowledge assistants using LangChain, LangGraph, Semantic Kernel, or similar frameworks.
- Experience with enterprise data platforms including Snowflake, Databricks, dbt, Spark, vector databases, and data governance frameworks.
- Strong understanding of Responsible AI, AI security, governance, model evaluation, and enterprise compliance considerations.
- Excellent communication and stakeholder management skills, with the ability to collaborate with technical and business leaders across cross-functional teams.
- Demonstrated innovation, continuous learning, and mentoring with the ability to drive AI solutions from proof of concept through production and enterprise adoption.
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 or master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related technical field
- 3+ years of experience in data engineering, solution architecture, or enterprise application development
- 2+ years of experience delivering AI/ML or Generative AI solutions
- Hands-on experience with Snowflake, dbt, advanced SQL, Python, enterprise data pipelines, and integrations
- Experience with LLMs, Generative AI, RAG, or AI Agents and exposure to AWS, Azure, or Google Cloud
- Experience delivering enterprise-scale integrations and modernization initiatives involving APIs, Control-M, SAP HANA, SIT, data validation, and production deployment
- Experience implementing Agentic AI, AI copilots, intelligent automation, or enterprise knowledge assistants using LangChain, LangGraph, Semantic Kernel, or similar frameworks
- Experience with Snowflake, Databricks, dbt, Spark, vector databases, and data governance frameworks
- Understanding of Responsible AI, AI security, governance, model evaluation, and enterprise compliance
- Strong communication and stakeholder management skills across technical and business teams
- Demonstrated innovation, continuous learning, mentoring, and ability to drive AI solutions from proof of concept through production
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 robust with multiple plan options and access to onsite/virtual LifeConnections Health Centers on major campuses. Company materials also highlight mental-health resources and comprehensive preventive care, supporting strong core medical benefits.
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Leave & Time Off Breadth — Time away includes company‑wide recharge days, a paid birthday, a year‑end shutdown, and paid Critical Time Off for emergencies. Paid volunteer days further expand opportunities to step away and recharge.
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Parental & Family Support — Policies include a global minimum for paid parental leave for primary caregivers, caregiving concierge services, and on‑site children’s learning centers in select locations. In the U.S., family‑building support is consolidated under Carrot with a defined lifetime maximum, indicating structured assistance across fertility, preservation, adoption, and surrogacy.
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.
