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ServiceNow's Applied AI Forward Deployed Engineering (FDE) team partners with strategic enterprise customers to design, build, and deploy AI-native solutions that solve mission-critical business challenges. As a Forward Deployed Solution Engineer, you will act as the technical leader of customer engagements, owning the full stack from backend services and LLM pipelines to front-end integrations.
You will embed directly with customer teams in the field, working in agile sprints to deliver production-ready, AI-powered applications. Your responsibilities include designing scalable AI workflows, integrating with legacy enterprise systems, and iterating rapidly in live environments. Beyond individual projects, you will codify reusable patterns—libraries, prompts, SDKs, and scaffolds—that accelerate future customer engagements and shape the broader Now AI Platform.
You will operate with a product mindset, balancing engineering rigor with pragmatism to deliver systems that are battle-tested in production and secure in regulated enterprise contexts. You'll also influence platform strategy by sharing field-tested insights with internal product and engineering teams, ensuring the platform evolves to meet real-world customer needs.
Key activities include: delivering end-to-end solutions in agile sprints; engineering across APIs, orchestration pipelines, vector databases, LLM frameworks, and UI components; integrating with complex legacy systems while maintaining velocity and safety; building reusable developer tooling and documentation; and traveling up to 30% to embed onsite with customers.
Success is measured by production-grade deployments that scale, reusable assets that power multiple projects, influence on platform roadmap, and your ability to lead implementations from zero to one while maintaining engineering excellence in high-stakes environments.
REQUIREMENTS:
- 10+ years of software engineering experience, including 2+ years in customer-facing or embedded roles
- Proven ability to design and implement AI-native software in production environments
- Strong backend skills (Python, Node.js, Java), frontend skills (React, Angular), and API expertise (REST/GraphQL)
- Familiarity with LLM tooling: LangChain, Semantic Kernel, prompt chaining, vector search, context management
- Demonstrated expertise in debugging distributed systems, tuning for latency, and implementing monitoring
- DevOps fluency: experience deploying on AWS, Azure, or GCP with CI/CD, containers, and infrastructure-as-code
- Platform mindset: ability to contribute to shared SDKs and tools that raise organizational velocity
- Product sensibility: prioritize for user value, MVP iteration, and long-term scalability
- Experience leveraging or critically thinking about AI integration into work processes, decision-making, or problem-solving
- Willingness to travel up to 30% for onsite customer engagement
PREFERRED QUALIFICATIONS:
- Experience integrating AI into SaaS platforms (ServiceNow, Salesforce, or similar)
- Track record of production deployments in secure, regulated enterprise environments
- Contributions to developer experience tooling, frameworks, or reusable AI scaffolds
