AI Developer

The application window is expected to close on: 03/31/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received. Meet The Team We are building a foundational AI team focused on developing innovative Agentic & LLM based productivity solutions. In this role, you will be at the forefront of developing enterprise-scale, agentic GenAI systems that seamlessly integrate large language models (LLMs) with enterprise data. A central mission of this position is to design and deploy intelligent, automated root cause analysis (RCA) tools tailored for the networking domain. These tools will leverage multi-step reasoning, intelligent retrieval, and deep integration with networking data sources to rapidly identify, diagnose, and resolve complex issues in production environments. Your Impact This role drives transformative innovation by architecting and deploying scalable, enterprise-grade agentic AI solutions that integrate large language models with critical networking and telemetry data. By delivering intelligent, automated root cause analysis (RCA) tools and advanced multi-agent architectures, you accelerate the software development lifecycle by providing developers with AI-driven insights that streamline debugging and validation. Your work directly supports Cisco's strategic objectives by enabling smarter, faster decision-making and improving customer experience through cutting-edge AI technologies. These contributions ensure high system performance and scalability, positioning Cisco as a leader in both AI-driven network automation and high-velocity software delivery. What You’ll Do Design, implement, and deploy agentic GenAI applications leveraging LLMs and advanced multi-agent architectures. Integrate enterprise data sources with LLMs to facilitate intelligent retrieval, context management, and multi-step automated reasoning. Develop and maintain reliable, scalable AI-driven systems with a strong focus on automated failure analysis and debugging. Architect and implement solutions that include tool calling, memory management, and effective context handling to optimize performance and accuracy. Lead initiatives in deploying machine learning and AI systems at enterprise scale, ensuring high reliability and low latency. Collaborate closely with research, data engineering, and product teams to translate business requirements into robust AI solutions. Contribute to continuous improvement of system reliability, monitoring, and automated diagnostics. Minimum Qualifications Bachelors with 7+ years related experience, or Masters with 4+ years related experience, or PhD with 1+ year related experience. Experience designing, developing, and deploying enterprise-scale GenAI or agentic systems using large language models (LLMs) in production environments. Experience with multi-agent architectures to include tool integration, memory, and context management in AI applications. Debugging experience, automated failure analysis and reliability assurance for AI-driven solutions. Experience using python programming language. Preferred Qualifications Experience with Retrieval-Augmented Generation (RAG), deep research techniques, and frameworks such as LangChain and LangGraph. Familiarity with enterprise data integration and intelligent retrieval mechanisms. Knowledge of advanced monitoring, observability, and diagnostics for AI systems. Strong problem-solving skills and ability to work both independently and collaboratively. Experience with agentic AI and prompting. Cisco may use AI Tools to review candidate-provided details—such as skills, experience, location, and education—to determine how closely candidates match job criteria. AI Tools are intended to guide and support the recruitment team in identifying and prioritizing candidates but are not used in isolation or without human judgment. For more information about Cisco’s use of AI please see the Job Candidate Privacy Statement found here. Wh ... (truncated, view full listing at source)