Forward Deployed Solution Engineer – Applied AI

🔥 1 hour ago

🇳🇱 Netherlands – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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ServiceNow

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2004

🏢 Enterprise

☁️ SaaS

🤖 Artificial Intelligence

💰 Post-IPO Equity on 2022-12

Enterprise • SaaS • Artificial Intelligence

ServiceNow is a platform that offers AI-powered solutions and automation for businesses to enhance productivity and streamline workflows. Its AI agents are designed to autonomously learn, reason, make decisions, and take action to transform business processes across various domains such as IT, HR, customer service, and app development. The platform enables organizations to integrate data from diverse sources, facilitating business transformation and operational efficiency. Recognized for its leadership in AI IT service management and trusted by a significant portion of the Fortune 500, ServiceNow collaborates with other global leaders like Microsoft and AWS to bring advanced AI capabilities to modernize business operations.

📋 Description

• Build solution-ready LLM-enabled applications spanning backend logic, data orchestration, and front-end UI • Work side-by-side with customers in the field to adapt, deploy, and iterate in live environments • Deliver production-ready solutions in agile, end-to-end sprints • Engineer APIs, orchestration pipelines, vector databases, LLM frameworks, and UI components • Integrate with legacy systems, navigate ambiguity, and ship safely at speed • Build scaffolds, SDKs, libraries, prompts, and documentation to scale success across customers • Shape developer experience by sharing feedback with platform and product teams • Debug distributed systems, tune latency, and implement monitoring • Deploy systems using cloud platforms, CI/CD, containers, and infrastructure-as-code • Inform product strategy through field-tested insights and extensible code • Lead implementations from zero to one with architects, product managers, and customer teams

🎯 Requirements

• 10+ years of software engineering experience • 2+ years building systems in customer-facing or embedded roles • Experience leveraging or critically thinking about integrating AI into work processes, decision-making, or problem-solving • Proven ability to design and implement AI-native software in production environments • Backend strength in Python, Node.js, and Java • Frontend experience with React and Angular • Experience with REST and GraphQL APIs • Foundations of MLflow, Weights & Biases, LoRA, PEFT, SageMaker, Vertex AI, AzureML, Kubeflow, Airflow, Prefect, TorchServe, Triton, vLLM, SHAP, LIME, pandas, Spark, and SQL • Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management • Skill debugging distributed systems, tuning latency, and implementing monitoring • Ability to contribute to shared SDKs and tools • Product sensibility focused on user value, MVP iteration, and long-term scale • Experience deploying in AWS, Azure, or GCP with CI/CD, containers, and infrastructure-as-code • Ability to travel up to 30% and work onsite when required • Preferred: experience integrating AI into SaaS platforms such as ServiceNow or Salesforce • Preferred: production deployments in secure, regulated enterprise environments • Preferred: contributions to developer-experience tooling, frameworks, or reusable AI scaffolds

🏖️ Benefits

• Flexible or remote work persona • Remote work option • Equal opportunity employment • Reasonable accommodation support

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