Forward Deployed Solution Engineer – Applied AI FDE

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

What You Bring:

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 Qualifications:

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

For positions in this location, we offer a base pay of $176,100 - $308,200 , plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.

We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance.

For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.

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