ServiceNow

Forward Deployed Solution Architect – Applied AI FDE

ServiceNow Forward Deployed Solution Architect – Applied AI role in Santa Clara. 15+ years enterprise AI/ML expertise required. Build intelligent AI solutions using LLM systems, GenAI pipelines, Python, cloud platforms. Lead technical teams, drive customer success.

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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:
 
October 28, 2025

ServiceNow is looking for a Forward Deployed Solution Architect to partner with customers to build intelligent, scalable AI solutions that solve their most mission-critical challenges. The successful candidate will have 15+ years of experience in enterprise AI/ML architecture, field engineering, or solution consulting, and a strong grasp of LLM-based systems and GenAI pipelines.

Requirements

  • Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving
  • Enterprise Experience: 15+ years of overall experience, with 5–7+ years in enterprise AI/ML architecture, field engineering, or solution consulting
  • Technical Mastery: Strong grasp of LLM-based systems and GenAI pipelines including prompt engineering, retrieval-augmented generation (RAG), orchestration, and data modeling
  • Cloud & Infrastructure Fluency: Deep hands-on experience with AWS, Azure, or GCP, including use of containers, infrastructure-as-code (Terraform, CloudFormation), and enterprise integration patterns
  • Engineering Depth: Proficient in Python and SQL, with working knowledge of GenAI tooling frameworks like LangChain, Semantic Kernel, or similar
  • Customer & Delivery Leadership: Comfortable operating in ambiguous, high-stakes environments, experienced in guiding cross-functional technical teams, influencing executive stakeholders, and ensuring clarity from ideation to implementation

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 experience in guiding cross-functional technical teams