Splunk Inc.
GTS Global Solution Architect (ML/AI) - 30572
Splunk Inc., Washington, District of Columbia, us, 20022
Splunk is here to build a safer and more resilient digital world. The world's leading enterprises use our unified security and observability platform to keep their digital systems secure and reliable. While customers love our technology, it's our people that make Splunk stand out as an amazing career destination and why we've won so many awards as a best place to work. If you become a Splunker, we want your whole, authentic self, what we call your "million data points". 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.GTS Global Architects are a distributed, remote team of Splunk platform and ecosystem domain experts. Global Architects guide Go To Market teams and customers on Splunk Architecture, inclusive of Cloud and customer-managed deployment expansions and/or migrations, machine learning/AI and machine data ecosystem technologies.Global Architects for this role provide deep-technical expertise and are key contributors to defining pre-sales and adoption activities to support large and complex ML and AI use-cases. Global Architects spend the majority of their time on projects and deliverables that directly relate to and impact customer demand, adoption or understanding of Splunk solutions, such as internal guidance to technical sellers, advocacy for critical Product design decisions, or external guidance such as deployment patterns, research, prototypes, and assisting with customer proof of concepts for production use-cases of Splunk.Global Architects collaborate cross-functionally, and partner with regional Architects and account teams in support of key customers, and leading engagements specific to architecture initiatives and validation of complex use-cases.Responsibilities:
Develop and maintain deep competencies in specific capabilities areas needed by Splunk customers (e.g. Splunk Platform, Machine Learning and AI, and ecosystem technologies)Develop and deliver technical content to internal and external audiences to enable and empower customers and Splunkers on complex use-casesFoster customer initiatives for AI using indexed data and existing toolsets, e.g. Splunk Machine Learning Toolkit (MLTK), Splunk App for Data Science and Deep Learning (DSDL)Engage with customers to assess and validate complex use-cases and direct them to realizing successful use casesWork with key customer leads on the AI strategies for security and observability, identifying alignment to Splunk’s increasing advance Product offeringsPartner with Product Management and engineering on thematic needs of customers, to optimize existing AI use cases and address new use casesDesign Splunk Validated Architectures and best practices in cross-functional partnership with subject matter experts across SplunkPartner with Splunk AI Product and engineering to share customer learnings, influence Splunk’s product roadmapAct as an internal technical expert, fielding inquiries from a Global audience related to your area of subject matter expertise (ML/AI)Become an expert on soon-to-be-released solutions, capabilities and emerging ecosystem technologies in your competency areas. Use your expertise to develop use-cases collateral and technical guidanceProvide hands-on leadership to solve Splunk technical architecture/integration needs, proactively validating, defining alternatives, and making recommendations to ProductProvide technical due diligence for assessing offerings from partners and the marketplaceQualifications:
Possess a depth of expertise in enterprise logging, security and/or observability, specifically utilizing Splunk and/or other aligned technologies and solutions (e.g. Elastic, AWS native services, etc.)7+ years of experience in technical pre-sales, services, system administration, and/or engineer roles5+ years of experience working with infrastructure and platform services to support enterprise-scale data challengesAn excellent depth of experience and hands-on knowledge in Data Science, Machine Learning and AI methods, tools and technologies, preferably related to Splunk AI and its key apps (e.g. MLTK, DSDL).Experienced hands-on working knowledge about SPL and data engineering best practices in Splunk to prepare data for AI/ML workloads.Experience with open source ML/AI tools, frameworks and libraries, especially in python. Coding skills and knowledge about LLMs, graph and vector databases or 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 PlatformExperience presenting complex technical topics to all audiences, from working-level administrators to executive stakeholdersDemonstrated expertise in the execution of projects and deliverables to support technology customers’ understanding and ability to capture the full value of their data investmentsSplunk is an Equal Opportunity Employer.At Splunk, we believe creating a culture of belonging isn’t just the right thing to do; it’s also the smart thing. We prioritize diversity, equity, inclusion, and belonging to ensure our employees are supported to bring their best, most authentic selves to work where they can thrive. Qualified applicants receive consideration for employment without regard to race, religion, color, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, marital status, age, physical or mental disability or medical condition, genetic information, veteran status, or any other consideration made unlawful by federal, state, or local laws. We consider qualified applicants with criminal histories, consistent with legal requirements.
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Develop and maintain deep competencies in specific capabilities areas needed by Splunk customers (e.g. Splunk Platform, Machine Learning and AI, and ecosystem technologies)Develop and deliver technical content to internal and external audiences to enable and empower customers and Splunkers on complex use-casesFoster customer initiatives for AI using indexed data and existing toolsets, e.g. Splunk Machine Learning Toolkit (MLTK), Splunk App for Data Science and Deep Learning (DSDL)Engage with customers to assess and validate complex use-cases and direct them to realizing successful use casesWork with key customer leads on the AI strategies for security and observability, identifying alignment to Splunk’s increasing advance Product offeringsPartner with Product Management and engineering on thematic needs of customers, to optimize existing AI use cases and address new use casesDesign Splunk Validated Architectures and best practices in cross-functional partnership with subject matter experts across SplunkPartner with Splunk AI Product and engineering to share customer learnings, influence Splunk’s product roadmapAct as an internal technical expert, fielding inquiries from a Global audience related to your area of subject matter expertise (ML/AI)Become an expert on soon-to-be-released solutions, capabilities and emerging ecosystem technologies in your competency areas. Use your expertise to develop use-cases collateral and technical guidanceProvide hands-on leadership to solve Splunk technical architecture/integration needs, proactively validating, defining alternatives, and making recommendations to ProductProvide technical due diligence for assessing offerings from partners and the marketplaceQualifications:
Possess a depth of expertise in enterprise logging, security and/or observability, specifically utilizing Splunk and/or other aligned technologies and solutions (e.g. Elastic, AWS native services, etc.)7+ years of experience in technical pre-sales, services, system administration, and/or engineer roles5+ years of experience working with infrastructure and platform services to support enterprise-scale data challengesAn excellent depth of experience and hands-on knowledge in Data Science, Machine Learning and AI methods, tools and technologies, preferably related to Splunk AI and its key apps (e.g. MLTK, DSDL).Experienced hands-on working knowledge about SPL and data engineering best practices in Splunk to prepare data for AI/ML workloads.Experience with open source ML/AI tools, frameworks and libraries, especially in python. Coding skills and knowledge about LLMs, graph and vector databases or 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 PlatformExperience presenting complex technical topics to all audiences, from working-level administrators to executive stakeholdersDemonstrated expertise in the execution of projects and deliverables to support technology customers’ understanding and ability to capture the full value of their data investmentsSplunk is an Equal Opportunity Employer.At Splunk, we believe creating a culture of belonging isn’t just the right thing to do; it’s also the smart thing. We prioritize diversity, equity, inclusion, and belonging to ensure our employees are supported to bring their best, most authentic selves to work where they can thrive. Qualified applicants receive consideration for employment without regard to race, religion, color, national origin, ancestry, sex, gender, gender identity, gender expression, sexual orientation, marital status, age, physical or mental disability or medical condition, genetic information, veteran status, or any other consideration made unlawful by federal, state, or local laws. We consider qualified applicants with criminal histories, consistent with legal requirements.
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