Cisco Systems, Inc.
AI Solutions Architect - Enterprise (Remote)
Cisco Systems, Inc., Alpharetta, Georgia, United States, 30239
The application window is expected to close on: 11/24/25.
This position is remote and can be completed from anywhere in the contiguous United States.
Splunk, a Cisco company, is building a safer and more resilient digital world with an end-to-end full stack platform made for a hybrid, multi-cloud world. Leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. Come help organizations be their best, while you reach new heights with a team that has your back.
Meet the Team
Splunk is seeking a highly motivated, results oriented individual to join our AI Solution Architect team. This is a phenomenal opportunity to accelerate the adoption of artificial intelligence solutions across Splunk's amazing customer base. As part of the Enterprise Solutions Architecture Team, you will partner with field Sales and Solutions Engineers as an expert in generative AI, machine learning, and deep learning solutions. You will work closely with customers as a trusted advisor to perform use case discovery, presentations, demonstrations, and assist with the implementation of AI solutions that address customer's unique business challenges. Your Impact
Partner with the Americas and Public Sector teams to perform deep use case discovery and development of solutions demonstrating Splunk AI/ML capabilities Present Splunk's AI message and roadmap to both technical and leadership teams Support the delivery of AI workshops, demonstrations, and product evaluations Maintain deep competencies in Splunk's platform and AI capabilities (e.g. Splunk Enterprise, Splunk Cloud, Machine Learning Toolkit, Deep Learning Toolkit, etc.) Work closely with Solutions Engineering, Global Technical Strategists, and Product Management to proactively identify customer challenges and needs, influencing the product roadmap to meet critical customer requirements Focus on accelerating and enabling AI skills across the entire Solutions Engineering organization, as well as using AI to scale productivity Minimum Qualifications
Experience and knowledge in Data Science, Machine Learning and AI methods, tools and technologies, preferably related to Splunk AI and its key apps e.g. Splunk Machine Learning Toolkit (MLTK), Splunk App for Data Science and Deep Learning (DSDL) 5 years of demonstrated ability in technical pre-sales, services, system administration, and/or engineer roles 3+ years of demonstrated ability with infrastructure and platform services to support enterprise-scale data challenges Knowledge about data engineering standard processes to prepare data for AI/ML workloads Experience with open source AI tools, frameworks and libraries, coding skills, LLMs, and integration with 3rd party AI services is a plus Preferred Qualifications
A depth of expertise in enterprise logging, security and/or observability, specifically using Splunk and/or other aligned technologies and solutions (e.g. Elastic, AWS native services, etc.) Experience communicating sophisticated technical topics to all audiences, from working-level administrators to senior team members Knowledge of strategies for operationalizing logs and/or metrics across infrastructure providers (i.e. on-premises, Amazon Web Services, Azure, and/or Google Cloud Platform) Experience writing technical content such as blogs, documentation or whitepapers 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 and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you.
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Splunk is seeking a highly motivated, results oriented individual to join our AI Solution Architect team. This is a phenomenal opportunity to accelerate the adoption of artificial intelligence solutions across Splunk's amazing customer base. As part of the Enterprise Solutions Architecture Team, you will partner with field Sales and Solutions Engineers as an expert in generative AI, machine learning, and deep learning solutions. You will work closely with customers as a trusted advisor to perform use case discovery, presentations, demonstrations, and assist with the implementation of AI solutions that address customer's unique business challenges. Your Impact
Partner with the Americas and Public Sector teams to perform deep use case discovery and development of solutions demonstrating Splunk AI/ML capabilities Present Splunk's AI message and roadmap to both technical and leadership teams Support the delivery of AI workshops, demonstrations, and product evaluations Maintain deep competencies in Splunk's platform and AI capabilities (e.g. Splunk Enterprise, Splunk Cloud, Machine Learning Toolkit, Deep Learning Toolkit, etc.) Work closely with Solutions Engineering, Global Technical Strategists, and Product Management to proactively identify customer challenges and needs, influencing the product roadmap to meet critical customer requirements Focus on accelerating and enabling AI skills across the entire Solutions Engineering organization, as well as using AI to scale productivity Minimum Qualifications
Experience and knowledge in Data Science, Machine Learning and AI methods, tools and technologies, preferably related to Splunk AI and its key apps e.g. Splunk Machine Learning Toolkit (MLTK), Splunk App for Data Science and Deep Learning (DSDL) 5 years of demonstrated ability in technical pre-sales, services, system administration, and/or engineer roles 3+ years of demonstrated ability with infrastructure and platform services to support enterprise-scale data challenges Knowledge about data engineering standard processes to prepare data for AI/ML workloads Experience with open source AI tools, frameworks and libraries, coding skills, LLMs, and integration with 3rd party AI services is a plus Preferred Qualifications
A depth of expertise in enterprise logging, security and/or observability, specifically using Splunk and/or other aligned technologies and solutions (e.g. Elastic, AWS native services, etc.) Experience communicating sophisticated technical topics to all audiences, from working-level administrators to senior team members Knowledge of strategies for operationalizing logs and/or metrics across infrastructure providers (i.e. on-premises, Amazon Web Services, Azure, and/or Google Cloud Platform) Experience writing technical content such as blogs, documentation or whitepapers 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 and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you.
#J-18808-Ljbffr