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Forward Deployed Solution Engineer

Exclusive opportunity

Remote

Forward Deployed Solution Engineer

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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