The application window is expected to close on: 07/31/2026
Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.
Who You'll Work WithYou will work with our amazing Enterprise Data & Platforms team as part of Cisco IT organization. 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 AreWe are looking for a highly skilled AI Engineering Technical Leader to lead the deployment and management of Gen AI based applications and services, with a focus on Retrieval Augmented Generation (RAG) and Agentic AI. This role requires expertise in developing and supporting large-scale GenAI applications, with a strong emphasis on AI-first engineering. 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, develop, and optimize high-performance, scalable Generative AI frameworks for on-premise and cloud environments.
• Architect secure workflows for end-to-end document processing, including ingestion, classification, retrieval, and automated fine-tuning pipelines.
• Implement robust data security, encryption, and access control protocols to ensure compliance with organizational and regulatory standards.
• Integrate responsible AI practices, including toxicity screening, bias detection, and ethical auditing, to ensure safe and compliant model deployment.
• Collaborate with cross-functional, legal, and governance teams to maintain alignment with evolving privacy and security frameworks.
• Monitor and maintain AI infrastructure with real-time alerting to ensure system stability and performance.
• Stay current with advancements in Generative AI, document security, and ethical AI development to drive continuous infrastructure improvement.
Minimum Qualifications- Bachelor's in Computer Science, Computer Engineering, Electrical Engineering, or a related STEM field.
- 3+ years hands-on experience in Gen AI engineering on production use cases.
- Proficiency in software engineering best practices, design and development of containerized large-scale distributed applications, and use of DevOps and CI/CD tools,
- Proficiency in Python programming language or similar.
- Hands-on experience with Gen AI frameworks such as LangChain, LlamaIndex, LangSmith, AI operators, with proficiency in Python for AI operations.
- Experience with vector databases, such as Weaviate, Pinecone, Milvus or similar.
Preferred Qualifications- Master's Degree in Computer Science, Computer Engineering, Electrical Engineering, or a related STEM field.
- Experience with design and development of advanced Agentic AI workflows orchestration.