Location: Remote with 50% Travel
Job Title: MIST AI Automation Engineer (with heavy Juniper experience)
Number of Roles: 1
Duration: 13 Years
Only USC
Job Summary: We are seeking a highly skilled MIST AI Automation Expertise Engineer to join our team. The ideal candidate will have extensive experience in network automation artificial intelligence and MIST AI technologies. Marvis VNA and the cloudbased Juniper Mist dashboard experience is a must. This role involves designing implementing and managing AIdriven network solutions to enhance operational efficiency and performance.
Key Responsibilities:
- Design and implement AIdriven network automation solutions using MIST AI technologies.
- Develop and maintain automation scripts and tools to streamline network operations.
- Collaborate with crossfunctional teams to integrate AI solutions into existing network infrastructure.
- Monitor and analyze network performance identifying areas for improvement and implementing AIdriven optimizations.
- Provide technical expertise and support for AI and automation projects.
- Stay uptodate with the latest advancements in AI network automation and MIST technologies.
- Conduct training sessions and workshops to educate team members on AI and automation best practices.
- Troubleshoot and resolve complex network issues using AIdriven diagnostic tools.
Qualifications:
- Bachelors degree in Computer Science Information Technology or a related field. Advanced degree preferred.
- Proven experience in network automation and AI technologies specifically with MIST AI and Juniper.
- Strong programming skills in languages such as Python JavaScript or similar.
- Indepth knowledge of network protocols architectures and security.
- Experience with automation tools and frameworks (e.g. Ansible Terraform).
- Excellent problemsolving skills and the ability to work under pressure.
- Strong communication and collaboration skills.
- Relevant certifications (e.g. MIST AI Certification CCNA CCNP) are a plus.
Preferred Skills:
- Experience with cloud platforms (AWS Azure Google Cloud).
- Familiarity with machine learning algorithms and data analysis.
- Knowledge of DevOps practices and CI/CD pipelines.
- Experience with network monitoring and management tools.
Job Summary: We are seeking a highly skilled MIST AI Automation Expertise Engineer to join our team. The ideal candidate will have extensive experience in network automation, artificial intelligence, and MIST AI technologies. Marvis VNA and the cloud-based Juniper Mist dashboard experience is a must. This role involves designing, implementing, and managing AI-driven network solutions to enhance operational efficiency and performance. Key Responsibilities: Design and implement AI-driven network automation solutions using MIST AI technologies. Develop and maintain automation scripts and tools to streamline network operations. Collaborate with cross-functional teams to integrate AI solutions into existing network infrastructure. Monitor and analyze network performance, identifying areas for improvement and implementing AI-driven optimizations. Provide technical expertise and support for AI and automation projects. Stay up-to-date with the latest advancements in AI, network automation, and MIST technologies. Conduct training sessions and workshops to educate team members on AI and automation best practices. Troubleshoot and resolve complex network issues using AI-driven diagnostic tools. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Advanced degree preferred. Proven experience in network automation and AI technologies, specifically with MIST AI and Juniper. Strong programming skills in languages such as Python, JavaScript, or similar. In-depth knowledge of network protocols, architectures, and security. Experience with automation tools and frameworks (e.g., Ansible, Terraform). Excellent problem-solving skills and the ability to work under pressure. Strong communication and collaboration skills. Relevant certifications (e.g., MIST AI Certification, CCNA, CCNP) are a plus. Preferred Skills: Experience with cloud platforms (AWS, Azure, Google Cloud). Familiarity with machine learning algorithms and data analysis. Knowledge of DevOps practices and CI/CD pipelines. Experience with network monitoring and management tools.