Forward Deployed Solution Engineer – Applied AI FDE
Primary stack
Job description
Forward Deployed Solution Engineer – Applied AI FDE
- Product
- London
- Flexible or Remote
- October 17, 2026
- JB0074948
About the Position
Join ServiceNow's Applied AI Forward Deployed Engineering (FDE) team as a Forward Deployed Software Engineer to build scalable AI solutions in London or remotely.
About the Company
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone-freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow-helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.
Join us to put AI to work for people.
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
Requirements
- Experience: In leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving.
- 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).
- 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.
- 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.
Nice to Have
- 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.
We Offer
- Competitive salary
- Flexible or Remote work options
- Professional development budget
- Comprehensive health benefits
- Generous paid time off
About the Company
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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