Forward Deployed Solution Architect – Applied AI Fde

ServiceNow · Enterprise · Santa Clara, CA +1 · Product

ServiceNow is seeking a Forward Deployed Solution Architect (FDE) for their Applied AI team. This role partners with strategic customers to identify high-value opportunities, architect AI-powered systems using LLMs, RAG, and orchestration, and guide their scaling across the Now Platform. The FDE collaborates with engineers to build and iterate solutions, codifies best practices, and influences product strategy based on field insights. The goal is to deliver validated AI solutions that address business-critical problems and become the foundation for scaled production deployments.

What you'd actually do

  1. Lead Strategic Discovery: Identify high-impact AI opportunities by running hands-on workshops and aligning stakeholders.
  2. Architect AI-Native Solutions: Design systems using LLMs, RAG pipelines, retrieval logic, and workflow orchestration.
  3. Accelerate Delivery with Engineers: Collaborate closely with FDSEs to build, test, and iterate functional solutions quickly.
  4. Codify Best Practices: Create repeatable frameworks, reusable templates, and modular components.
  5. Drive Alignment: Influence customer and executive buy-in through clear storytelling and solution framing.

Skills

Required

  • Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving.
  • Enterprise AI/ML architecture, field engineering, or solution consulting experience.
  • Ability to lead initiatives from conception to delivery.
  • Strong grasp of LLM-based systems and GenAI pipelines including prompt engineering, retrieval-augmented generation (RAG), orchestration, and data modeling.
  • Experience designing full-stack intelligent workflows.
  • 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

Nice to have

  • Experience using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry.

What the JD emphasized

  • enterprise AI/ML architecture
  • Field Product Architect
  • AI-powered systems
  • intelligent automation
  • LLM-based systems
  • GenAI pipelines
  • full-stack intelligent workflows

Other signals

  • customer-facing AI solutions
  • enterprise AI architecture
  • LLM-based systems
  • GenAI pipelines
  • workflow orchestration