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Salary: USD 176,100 - 308,200 / annual
ServiceNow's Applied AI Forward Deployed Engineering (FDE) team is seeking a Forward Deployed Solution Engineer to partner with strategic enterprise customers and build transformative AI-native solutions. You will act as the technical leader of customer engagements, owning the full stack from backend services and LLM pipelines to front-end integrations. Your role bridges customer needs and platform innovation, delivering production-grade AI solutions that become reference implementations for scalable GenAI in the enterprise.
You will work embedded with customer teams in the field, designing and implementing solution-ready builds in agile sprints. Your responsibilities include building LLM-enabled applications that integrate APIs, orchestration pipelines, vector databases, and UI components; operating with agility to integrate legacy systems and navigate ambiguity while shipping safely at speed; codifying reusable assets such as libraries, prompts, and scaffolds to accelerate future engagements; and shaping developer experience by providing feedback to platform and product teams.
Success in this role means delivering production-grade solutions that consistently convert to scaled deployments, authoring libraries and scaffolds that power multiple projects, influencing internal tooling and platform roadmap through field-tested insights, moving fast without breaking things in high-stakes contexts, and earning trust from architects, PMs, and customer teams to lead implementations from zero to one.
You are a systems-minded, AI-native engineer who ships real software. You own the full stack and are equally motivated by elegant APIs, intuitive UIs, and scalable orchestration pipelines. You think like a product-minded CTO, balancing creativity with pragmatism. You embed deeply with customer teams, diagnose root problems, and architect AI-powered workflows that run at scale. You debug not just code but systems, context, and customer pain points.
REQUIREMENTS:
- 8+ 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, and context management
- Skilled in debugging distributed systems, tuning for latency, and implementing monitoring
- Experience deploying in AWS, Azure, or GCP with CI/CD, containers, and infrastructure-as-code
- Ability to travel up to 30% to embed onsite with customers
- Experience leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving
- Platform mindset: can contribute to shared SDKs and tools to raise engineering velocity
- Product sensibility: prioritize for user value, MVP iteration, and long-term scale
PREFERRED QUALIFICATIONS:
- Experience integrating AI into SaaS platforms like ServiceNow or Salesforce
- Track record of production deployments in secure, regulated enterprise environments
- Contributions to developer experience tooling, frameworks, or reusable AI scaffolds
