Remote Staffing
AI Solutions Architect - Enterprise (REMOTE)
Remote Staffing - Cleveland, Ohio, us, 44101
Work at Remote Staffing
Overview
- View job
Overview
AI Solution Architect
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. Our customers love our technology, but it's our caring employees that make Splunk stand out as an amazing career destination. No matter where in the world or what level of the organization, we approach our work with kindness. So bring your work experience, problem-solving skills and talent, of course, but also bring your joy, your passion and all the things that make you, you. Come help organizations be their best, while you reach new heights with a team that has your back. Role Summary
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 Splunks 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 customers unique business challenges. What Youll Get To Do
Partner with the Americas and Public Sector teams to perform deep use case discovery and development of solutions demonstrating Splunk AI/ML capabilities. Present Splunks AI message and roadmap to both technical and leadership teams. Support the delivery of AI workshops, demonstrations, and product evaluations. Maintain deep competencies in Splunks platform and AI capabilities (e.g. Splunk Enterprise, Splunk Cloud, Machine Learning Toolkit, Deep Learning Toolkit, etc..) Evaluate technical selling assets to ensure that Splunks AI message is deeply embedded into every pitch, presentation, and demo. Partner with Sales Engineering leadership to develop vertical/industry specific solutions and showcases. Work closely with 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. Must-Have 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). Possess 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.). 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. 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. Experience communicating sophisticated technical topics to all audiences, from working-level administrators to senior team members.
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. Our customers love our technology, but it's our caring employees that make Splunk stand out as an amazing career destination. No matter where in the world or what level of the organization, we approach our work with kindness. So bring your work experience, problem-solving skills and talent, of course, but also bring your joy, your passion and all the things that make you, you. Come help organizations be their best, while you reach new heights with a team that has your back. Role Summary
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 Splunks 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 customers unique business challenges. What Youll Get To Do
Partner with the Americas and Public Sector teams to perform deep use case discovery and development of solutions demonstrating Splunk AI/ML capabilities. Present Splunks AI message and roadmap to both technical and leadership teams. Support the delivery of AI workshops, demonstrations, and product evaluations. Maintain deep competencies in Splunks platform and AI capabilities (e.g. Splunk Enterprise, Splunk Cloud, Machine Learning Toolkit, Deep Learning Toolkit, etc..) Evaluate technical selling assets to ensure that Splunks AI message is deeply embedded into every pitch, presentation, and demo. Partner with Sales Engineering leadership to develop vertical/industry specific solutions and showcases. Work closely with 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. Must-Have 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). Possess 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.). 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. 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. Experience communicating sophisticated technical topics to all audiences, from working-level administrators to senior team members.