Cisco Senior Gen 

United States, California, San Jose 

508177601

The application window is expected to close on: March 14, 2025

Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.

Who You'll Work With

You will work with our amazing Data Infrastructure & Platforms team as part of the Infrastructure & Cloud Services. You will build solutions and support them across our portfolio of capabilities, primarily focusing on enabling AI/ML and Generative AI capabilities in a multi-functional team setup. You will collaborate with other engineers, architects, and organization leadership.

Who You Are

We are looking for a highly skilled Senior GenAI Engineer to lead the deployment and management of Gen AI based applications and services, with a focus on Retrieval Augmented Generation (RAG). This role requires expertise in developing and supporting large-scale GenAI and ML platforms, with a strong emphasis on document management, security, vector databases, and workflow orchestration. The successful candidate will have extensive experience in responsible AI practices, including toxicity screening and ensuring regulatory compliance across AI solutions.

What You’ll Do

• Design and develop Gen AI based applications and frameworks for on-prem environments, focusing on Retrieval Augmented Generation (RAG) and ensuring high-performance infrastructure.
• Build and optimize secure, scalable AI/ML platforms that support enterprise-level document management and data security protocols.
• Design, implement, and manage workflows to ensure seamless document processing, ingestion, classification, and retrieval within AI models.
• Implement and manage vector databases to support efficient document search and retrieval within AI workflows.
• Ensure compliance with organizational and regulatory data security standards, including encryption, access control, and auditing of sensitive documents used within AI models.
• Implement and maintain responsible AI practices, including toxicity screening, bias detection, and regulatory compliance to ensure ethical and safe AI usage.
• Collaborate with cross-functional teams to ensure data privacy and information security requirements are met when processing documents through AI models.
• Continuously evaluate and improve infrastructure to support evolving AI/ML needs, particularly focusing on document ingestion, classification, and retrieval.
• Develop and maintain automated pipelines for LLM deployment and secure document processing with real-time monitoring and alerts.
• Work closely with compliance, legal, and governance teams to ensure AI models are aligned with security and regulatory frameworks.
• Stay updated on the latest advancements in AI/ML, document security, and responsible AI practices.

Minimum Qualifications

• Bachelor's in Computer Science, Computer Engineering, Electrical Engineering, or a related STEM field.
• 5+ years hands-on experience in AI/ML engineering, particularly with on-prem LLM deployments on RAG.
• Proficiency in Python programming language or similar.
• Hands-on experience with ML frameworks such as LangChain, LlamaIndex, Kubeflow, AI operators, with proficiency in Python for AI operations.
• Experience with MLOps principles, including model deployment, versioning, and/or monitoring in secure environments.
• Experience with vector databases, such as Pinecone, Weaviate, Milvus or similar.
• Experience collaborating with cross functional team such as legal, compliance and security experts.

Preferred Qualifications

• Master’s Degree in Computer Science, Computer Engineering, Electrical Engineering, or a related STEM field.
• Experience with multi-instance GPUs and containerized AI/ML workflows.
• Understanding of document lifecycle management, particularly in the context of AI model ingestion, classification, and retrieval.

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