ServiceNow

Forward Deployed Solution Architect – Applied AI FDE

Join ServiceNow as a Forward Deployed Solution Architect in San Francisco. Leverage AI/ML expertise on the Now Platform to drive ROI and innovation.

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The Mothership
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Expert/Leadership
ServiceNow Role Type:
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Implementer
ServiceNow Modules:
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Integration Hub
ServiceNow Certifications (nice to have):

Job description

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Posted on:
 
August 1, 2025

As a Forward Deployed Solution Architect, you will embed with customers to uncover opportunities, architect AI-powered systems that drive ROI, and guide how those solutions scale across the Now Platform. This is a rare opportunity to serve as a Field Product Architect at the forefront of applied AI, helping define what great looks like for scalable enterprise innovation.

Requirements

  • 15+ years of overall experience, with 5–7+ years in enterprise AI/ML architecture, field engineering, or solution consulting
  • Strong grasp of LLM-based systems and GenAI pipelines including prompt engineering, retrieval-augmented generation (RAG), orchestration, and data modeling
  • Deep hands-on experience with AWS, Azure, or GCP, including use of containers, infrastructure-as-code (Terraform, CloudFormation), and enterprise integration patterns
  • Proficient in Python and SQL, with working knowledge of GenAI tooling frameworks like LangChain, Semantic Kernel, or similar
  • Comfortable operating in ambiguous, high-stakes environments, guiding cross-functional technical teams, influencing executive stakeholders, and ensuring clarity from ideation to implementation
  • Willingness and ability to travel up to 30% to embed onsite with customers, lead workshops, unblock teams, and drive tangible solution outcomes

Benefits

  • Base pay of $236,000 - $413,000
  • Equity (when applicable)
  • Variable/incentive compensation
  • Benefits
  • Health plans, including flexible spending accounts
  • 401(k) Plan with company match
  • ESPP
  • Matching donations
  • Flexible time away plan
  • Family leave programs

Requirements Summary

15+ years of experience in enterprise AI/ML architecture, field engineering, or solution consulting, strong grasp of LLM-based systems and GenAI pipelines, and ability to travel up to 30%