ServiceNow

Director, Forward Deployed Solution Architect – Applied AI FDE

Join ServiceNow as a Director, Forward Deployed Solution Architect in New York. Lead AI transformation using ServiceNow's Now Platform. Requires 13+ years in tech, AI/ML expertise, and strong leadership skills. Benefits include flexible time off and competitive compensation.

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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 7, 2025

Director, Forward Deployed Solution Architect – Applied AI FDE at ServiceNow. The role leads a high-impact team of Forward Deployed Solution Architects embedded with customers to drive AI transformation. The Director guides the team in uncovering opportunities, designing AI-powered systems, and ensuring those solutions scale effectively across the Now Platform.

Requirements

  • In leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving.
  • Experience in enterprise technology, including 5–7+ years leading AI/ML architecture, field engineering, or solution consulting teams.
  • Deep understanding of LLM-based systems and GenAI pipelines, including prompt engineering, RAG, orchestration, and data modeling.
  • Extensive hands-on experience with AWS, Azure, or GCP, including containerization, infrastructure-as-code (Terraform, CloudFormation), and enterprise integration.
  • Proficient in Python and SQL, with working knowledge of GenAI frameworks like LangChain, Semantic Kernel, or similar.
  • Skilled in navigating ambiguity and high-stakes environments, guiding cross-functional teams, influencing executive stakeholders, and ensuring clarity and alignment from ideation through implementation.

Benefits

  • Flexible time away plan and family leave programs
  • Health plans, including flexible spending accounts
  • 401(k) Plan with company match
  • ESPP, matching donations
  • Competitive On Target Earnings (OTE) incentive compensation structure

Requirements Summary

13+ years of experience in enterprise technology, 5-7+ years leading AI/ML architecture, field engineering, or solution consulting teams, and deep understanding of LLM-based systems and GenAI pipelines