ServiceNow: Forward Deployed Solution Engineer – Applied AI FDE — Amsterdam, Netherlands

About ServiceNow

ServiceNow develops an enterprise software platform bringing together data, workflows and AI for business operations. Its employer introduction traces the business to automating a repetitive workplace task and describes a continuing focus on freeing people from routine work. The platform is intended to connect technology with how organisations carry out their processes. This makes workflow automation and the use of information in everyday business activity central themes, rather than a product aimed at only one industry.

The position and its setting

ServiceNow lists Forward Deployed Solution Engineer – Applied AI FDE in Amsterdam, Netherlands, under reference JB0075827. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Employment type: Full-time
• Employer listing date: 21 October 2026
• Brands: ServiceNow

Responsibilities and work described

• Team Bio:
• ServiceNow’s Applied AI Forward Deployed Engineering (FDE) team is where bold ideas meet transformative action
• We partner with our most strategic customers to shape the future of enterprise AI
• Together, we identify high-value opportunities, accelerate business outcomes, and build reusable AI-native solutions that advance the Now AI Platform
• Our mission: We partner deeply with our customers to build intelligent, scalable AI solutions that solve their most mission-critical challenges
• By embedding in real-world complexity, we deliver fast, iterate with purpose, and transform every success into reusable patterns that accelerate transformation across the Now Platform and the broader enterprise
• Why This Role Matters:
• Enterprises are raising the bar
• AI initiatives must deliver business value—not just promise potential
• That means taking cutting-edge LLM capabilities and turning them into resilient, secure, and scalable software
• As a Forward Deployed Solution 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
• Delivery: Production - ready solution in agile end-to-end sprints
• Engineer with versatility: APIs, orchestration pipelines, vector DBs, LLM frameworks, UI components

Essential requirements and candidate background

• 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
• You will:
• 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
• 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
• 10+ years of software engineering, including 2+ years building systems in customer-facing or embedded roles
• System architecture: 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)
• Machine Learning: Foundations of MLflow, Weights & Biases, LoRA, PEFT, SageMaker, Vertex AI, AzureML, Kubeflow, Airflow, Prefect, TorchServe, Triton, vLLM, SHAP, LIME, pandas, Spark, SQL
• 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

Preferred experience and additional strengths

• 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

Location, schedule and contract conditions

For this overseas or regional listing, confirm work authorisation and any location restrictions with the employer. The location does not establish visa sponsorship or permission to work remotely from India.

• Field readiness: Able to travel up to 30% to embed onsite and deliver where it matters
• Work arrangement: Remote
• Advertised location: Amsterdam, Netherlands

Employer details to confirm

• The employer’s seniority category and its stated experience requirements do not agree. Follow the role-specific requirements above rather than assuming this is a fresher opening.

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Forward Deployed Solution Engineer – Applied AI FDE vacancy is not an offer for reference JB0075827; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to ServiceNow

Applications follow the official employer page linked below.

Open the official ServiceNow posting below and match the title and reference JB0075827.

Compare your qualifications and experience with the essential conditions for the Amsterdam, Netherlands position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• Java
• SQL
• Spark
• CI/CD
• AWS
• GCP
• Azure
• REST APIs
• APIs
• AI/ML
• LLMs
• Salesforce
• ServiceNow
• AI
• React
• Angular
• Node.js