Splunk

AI Solutions Architect - Enterprise (REMOTE)

Splunk

full-time

Posted on:

Origin:  • 🇺🇸 United States • Arizona, Florida, Iowa, Kansas

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Salary

💰 $182,000 - $250,250 per year

Job Level

Mid-LevelSenior

Tech Stack

AWSAzureCloudGoogle Cloud PlatformOpen SourceSplunk

About the role

  • 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 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.)
  • Evaluate technical selling assets to ensure that Splunk's 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

Requirements

  • 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
  • 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.)
  • 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)