AI/ML Engineer (Hybrid)

The application window is expected to close on: 08/12/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . This role is performed within RTP, North Carolina OR alternate locations (Austin, San Jose or Richardson) as a hybrid work model. Meet the Team  Cisco Cloudx team is a dynamic group of developers, Solutions Architects, and data engineers dedicated to supporting Cisco’s public cloud infrastructure and operations. As part of the Cloud Management and Operations (CMO) team within Cisco IT, we build the platforms and automations that enable governance, operational efficiency, cost management, and security guardrails across Cisco’s public cloud environments.

As a Software Engineer specialized in AI/ML, you will guide the architecture, design, and development of our Cloud platforms and automations ensuring high standards of security, performance, and scalability. You’ll champion technology innovation, mentor your development team, and collaborate with stakeholders to deliver business-critical features that shape the future of Cisco's public cloud journey. You will: Design and implement highly scalable, multi-threaded, and distributed applications. Design and implement AI Agents to monitor and optimize cloud resources based on findings and recommendations from Cloud Service Providers. Integrate AI-driven insights with Cloud Service Providers like AWS, GCP, Azure, and existing data and tools. Ensure robust performance, reliability, and security for cloud-based deployments. Conduct code reviews and offer constructive feedback to ensure code quality and team growth. Continuously optimize processes to improve developer productivity and execution. Develop predictive models for drift detection, cost anomaly detection, and forecasting of public cloud resources and spend. Automate operational workflows using machine learning and intelligent scripting. Design, build, and maintain scalable ETL pipelines using AWS Glue and other cloud-native services. Use AWS Athena for interactive querying of data stored in data lakes. Manage and optimize data storage and processing using Snowflake cloud data platform. Orchestrate complex workflows and data pipelines using Apache Airflow DAGs. Continuously evaluate emerging AI technologies and tools for operational improvements. Maintain documentation and standard processes for AI/ML integration in cloud systems.

7+ years of experience in Computer Science along with Bachelor’s or Master’s Degree in Computer Science, Data Science, or related technical field. At least 2 years of experience in building and deploying ML models focused on cloud operations. Solid knowledge of cloud technologies (AWS, GCP, Azure, OCI). Experience with Python, PySpark, and ML libraries such as PyTorch, TensorFlow, or Scikit-Learn. Experience with AWS Glue ETL, AWS Athena, Snowflake, and Apache Airflow DAGs.

Full stack development experience with Angular for front end and Flask for back end application development to build platforms to support our Stakeholders and Business Units within Cisco Established record of leading technical initiatives, delivering results, and a commitment to fostering a supportive work environment. Strong communication and multi-functional collaboration skills. Proficient in general-purpose programming languages (Python, Golang, Bash) and development platforms and technologies. Comfortable working with streaming data, APIs, and telemetry systems. Experience with Agile and DevOps operating models, including project tracking tools (e.g., Jira), Git (any Version Control systems), and CI/CD systems (e.g., GitLab, GitHub Actions, Jenkins). 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