Forward Deployed Solution Engineer – Applied AI FDE jobs in United States
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ServiceNow · 2 months ago

Forward Deployed Solution Engineer – Applied AI FDE

ServiceNow is a global market leader in AI-enhanced technology, partnering with strategic customers to shape the future of enterprise AI. The Forward Deployed Solution Engineer will design, implement, and deliver scalable AI solutions while working closely with customers to address their most critical challenges.

Agentic AIBusiness Process Automation (BPA)Cloud ManagementEnterprise SoftwareRobotic Process Automation (RPA)SaaS
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

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 -readysolution 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

Qualification

AI integrationSoftware engineeringSystem architectureBackend developmentLLM toolingPerformance tuningDevOpsFrontend developmentAPIsProduct sensibilityField readiness

Required

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: 8+ 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

Preferred

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

Benefits

Health plans
Flexible spending accounts
401(k) Plan with company match
ESPP
Matching donations
Flexible time away plan
Family leave programs

Company

ServiceNow

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ServiceNow is an AI platform that delivers IT operations, field service management and app engine solutions.

H1B Sponsorship

ServiceNow has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (910)
2024 (876)
2023 (807)
2022 (840)
2021 (447)
2020 (439)

Funding

Current Stage
Public Company
Total Funding
$83.7M
Key Investors
Sequoia CapitalJMI Equity
2022-12-09Post Ipo Equity
2012-07-29IPO
2012-03-20Private Equity· $10.98M

Leadership Team

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Bill McDermott
Chairman and CEO
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Pat Casey
Chief Technology Officer & EVP of DevOps
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Company data provided by crunchbase