Cisco

1 month ago

Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

As a Data Engineer on Cisco's AI platform team, you will design and deploy Generative AI applications, integrate AI capabilities with enterprise data platforms, and build production-ready AI pipelines. You will collaborate with data and software engineers, define scalable architectures, and mentor teams while advancing responsible AI, governance, and measurable business impact across sales, success, and service functions.

Location: Bengaluru, Hyderabad

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Design and deploy Generative AI applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and intelligent automation frameworks.
•Define enterprise AI architecture, reference patterns, and best practices to ensure scalable, secure, and responsible AI adoption across the organization.
•Integrate AI capabilities with enterprise applications, data platforms, APIs, and cloud-native services to deliver end-to-end intelligent solutions.
•Drive innovation by evaluating emerging AI technologies, developing proof-of-concepts, and accelerating the transition of successful prototypes into production.
•Collaborate with data engineers, software engineers, and platform teams to build robust AI pipelines, model integration frameworks, and MLOps capabilities.

Key Requirements

•Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related technical field.
•10+ years of experience in software engineering, solution architecture, data engineering, or enterprise application development, including at least 3 years delivering AI or Machine Learning solutions.
•Hands-on experience designing and deploying Generative AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, and AI orchestration frameworks.
•Strong proficiency in Python and experience with cloud platforms such as AWS, Azure, or Google Cloud, including AI/ML services and modern data platforms.
•Experience architecting scalable enterprise solutions using APIs, microservices, cloud-native architectures, and modern DevOps/MLOps practices.

Experience:10+ yearsAIEnterprise AIData engineeringCloud

Education:Bachelor's

Skills:PythonAPIsMicroservicesPrompt engineeringMLOpsLLMsRAGVector databasesCloud platformsDatabricksSnowflakeDbtSparkLangChainLangGraphLlamaIndexSemantic KernelKubernetesDocker

Tech Stack:PythonAWSAzureGoogle CloudLLMsRAGVector databasesSnowflakeDatabricksDbtSparkLangChainLangGraphLlamaIndexSemantic KernelKubernetesDockerMLOpsAPIsMicroservices

Company Brief

Cisco

Global technology company that designs, manufactures, and sells networking hardware, telecommunications equipment, and high-technology services and products for enterprises, service providers, and governments worldwide.

Industry: Networking Equipment

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 1984

Glassdoor: 4.0

Website LinkedIn Glassdoor

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Cisco

1 month ago

Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Bengaluru, Hyderabad

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Design and deploy Generative AI applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and intelligent automation frameworks.
•Define enterprise AI architecture, reference patterns, and best practices to ensure scalable, secure, and responsible AI adoption across the organization.
•Integrate AI capabilities with enterprise applications, data platforms, APIs, and cloud-native services to deliver end-to-end intelligent solutions.
•Drive innovation by evaluating emerging AI technologies, developing proof-of-concepts, and accelerating the transition of successful prototypes into production.
•Collaborate with data engineers, software engineers, and platform teams to build robust AI pipelines, model integration frameworks, and MLOps capabilities.

Key Requirements

•Bachelor's or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related technical field.
•10+ years of experience in software engineering, solution architecture, data engineering, or enterprise application development, including at least 3 years delivering AI or Machine Learning solutions.
•Hands-on experience designing and deploying Generative AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, prompt engineering, and AI orchestration frameworks.
•Strong proficiency in Python and experience with cloud platforms such as AWS, Azure, or Google Cloud, including AI/ML services and modern data platforms.
•Experience architecting scalable enterprise solutions using APIs, microservices, cloud-native architectures, and modern DevOps/MLOps practices.

Experience:10+ yearsAIEnterprise AIData engineeringCloud

Education:Bachelor's

Skills:PythonAPIsMicroservicesPrompt engineeringMLOpsLLMsRAGVector databasesCloud platformsDatabricksSnowflakeDbtSparkLangChainLangGraphLlamaIndexSemantic KernelKubernetesDocker

Tech Stack:PythonAWSAzureGoogle CloudLLMsRAGVector databasesSnowflakeDatabricksDbtSparkLangChainLangGraphLlamaIndexSemantic KernelKubernetesDockerMLOpsAPIsMicroservices

Company Brief

Cisco

Industry: Networking Equipment

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 1984

Glassdoor: 4.0

Website LinkedIn Glassdoor