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Data Engineer

Cisco21h ago
Bangalore, IndiaOnsiteFull-timeSenior Level10+ yrs exp

Top focus

Data EngineerVp DataSenior Data EngineerData Warehouse Engineer

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 As an AI Solutions Architect, you will lead the design and implementation of enterprise AI solutions that accelerate business transformation and software engineering productivity. You will partner with business leaders, product managers, architects, and engineering teams to identify high-value AI use cases and translate them into scalable, secure, and production-ready solutions.

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. Meet and exceed governance, security, and compliance standards for AI solutions, ensuring alignment with enterprise architecture and responsible AI principles.

Mentor engineering teams on AI solution design, architecture best practices, and modern AI development frameworks to elevate organizational AI capabilities. Measure and communicate the business impact of AI initiatives through improved productivity, operational efficiency, automation, and enhanced customer experiences.

Minimum Qualifications 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. Preferred Qualifications Experience implementing Agentic AI, AI copilots, intelligent automation, or enterprise knowledge assistants using frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar technologies.

Knowledge of enterprise data platforms including Snowflake, Databricks, dbt, Spark, vector databases, and data governance frameworks. Strong understanding of Responsible AI principles, AI security, governance, model evaluation, and compliance considerations.

Excellent communication and stakeholder management skills with the ability to influence technical and business leaders across cross-functional organizations. Demonstrated passion for innovation, continuous learning, mentoring engineering teams, and driving enterprise AI adoption from proof of concept to production.

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. Simply put – we power the future. 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. 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.

Required skills

PythonMachine LearningGenerative AILarge Language ModelsRetrieval-Augmented GenerationAI OrchestrationAWSAzureGoogle CloudAPIsMicroservicesDevOpsMLOpsSnowflakeDatabricks
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