S
ServiceNow
Forward Deployed Solution Engineer
Skills
Google Cloud PlatformReactNodePythonProduct StrategyJavaGraphQLAIAWSNo-code AutomationsSalesforceServiceNowAzure
13 days ago
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Important information
Salary:
$201,300 – $352,300 / year
Location:
United States
Work mode:
Remote
Published on:
14 October 2026
What they need
Who you are
- 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 to deliver impact
- You embed deeply with customer teams, diagnose root problems, and architect AI-powered workflows that run at scale
- You don’t just debug code—you debug systems, context, and customer pain points
- Experience: In leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry
- Relevant Experience: 10+ years of software engineering, including 2+ years building systems in customer-facing or embedded roles
- System architecture: Proven ability to design and implement AI-native software in production environments
- Engineering depth: Strength in backend (Python, Node.js, Java), frontend (React, Angular), APIs (REST/GraphQL)
- LLM tooling: Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management
- Performance & observability: Skilled in debugging distributed systems, tuning for latency, and implementing monitoring
- Platform mindset: Can contribute to shared SDKs and tools, raising engineering velocity for the whole org
- Product sensibility: Prioritize for user value, MVP iteration, and long-term scale
- DevOps fluency: Experience deploying in AWS, Azure, or GCP with CI/CD, containers, and infra-as-code
- Field readiness: Able to travel up to 30% to embed onsite and deliver where it matters
- Experience integrating AI into SaaS platforms like ServiceNow or Salesforce
- Track record of production deployments in secure, regulated enterprise environments
- Contributions to dev experience tooling, frameworks, or reusable AI scaffolds
What the job involves
- As a Forward Deployed Software Engineer (FDSE), you act as the CTO of the build—owning everything from backend services to LLM pipelines and front-end integrations
- You partner with customers in the field to design, implement, and deliver solution-ready builds in agile sprints
- Your software becomes the reference implementation for scalable GenAI in the enterprise
- You codify patterns, shape internal tooling, and accelerate innovation—delivering systems that are battle-tested in production and scalable across industries
- Build solution-ready LLM-enabled applications that span backend logic, data orchestration, and front-end UI
- Operate in the field, working side-by-side with customers to adapt, deploy, and iterate in live environments
- Codify reusable assets—libraries, prompts, scaffolds—to accelerate future engagements
- Shape developer experience by sharing feedback with platform and product teams
- Deliver Production - ready solution in agile end-to-end sprints
- Engineer with versatility: APIs, orchestration pipelines, vector DBs, LLM frameworks, UI components
- Operate with agility: integrate with legacy systems, navigate ambiguity, ship safely at speed
- Codify patterns: build scaffolds, SDKs, and documentation to scale success across customers
- Influence platform: inform product strategy through field-tested insights and extensible code
- What Success Looks Like:
- Production-grade delivery: Your solution builds consistently convert to scaled deployments in production environments
- Reusable impact: You author libraries, prompts, and scaffolds that power multiple deployments and projects
- Platform influence: Your work shapes internal tooling and is integrated into platform roadmap and primitives
- Velocity and precision: You move fast without breaking things—shaping resilient, secure systems in high-stakes contexts
- Engineering leadership: You are trusted by architects, PMs, and customer teams to lead implementation from zero to one
Benefits
- Generous family leave
- Matched donations
- Annual learning stipends
- Flexible PTO
- Competitive retirement plan
- Paid volunteer time
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