Forward Deployed Solution Engineer – Applied AI FDE
Job description
Forward Deployed Solution Engineer on ServiceNow's Applied AI Forward Deployed Engineering team, acting as the CTO of the build to design, implement, and deliver production-ready LLM-enabled solutions alongside strategic customers.
At a glance
- Employment
- Full-time · Employee (employment agreement)
- Work mode
- Remote
What you'll do
- 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 solutions in agile end-to-end sprints
- Engineer with versatility: APIs, orchestration pipelines, vector DBs, LLM frameworks, UI components
- Integrate with legacy systems, navigate ambiguity, ship safely at speed
- Build scaffolds, SDKs, and documentation to scale success across customers
- Inform product strategy through field-tested insights and extensible code
What we're looking for
- Experience leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving
- 10+ years of software engineering, including 2+ years building systems in customer-facing or embedded roles
- Proven ability to design and implement AI-native software in production environments
- Strength in backend (Python, Node.js, Java), frontend (React, Angular), APIs (REST/GraphQL)
- Foundations of MLflow, Weights & Biases, LoRA, PEFT, SageMaker, Vertex AI, AzureML, Kubeflow, Airflow, Prefect, TorchServe, Triton, vLLM, SHAP, LIME, pandas, Spark, SQL
- Familiarity with LangChain, Semantic Kernel, prompt chaining, vector search, and context management
- Skilled in debugging distributed systems, tuning for latency, and implementing monitoring
- Can contribute to shared SDKs and tools, raising engineering velocity for the whole org
- Prioritize for user value, MVP iteration, and long-term scale
- Experience deploying in AWS, Azure, or GCP with CI/CD, containers, and infra-as-code
- 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
Your team
Applied AI Forward Deployed Engineering (FDE)
Partners with ServiceNow's most strategic customers to identify high-value opportunities, accelerate business outcomes, and build reusable AI-native solutions that advance the Now AI Platform.
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About ServiceNow
The AI control tower for business reinvention
ServiceNow's AI platform brings together any AI, any data, and any workflow, helping 85% of the Fortune 500 work smarter, faster, and better. The company is building an AI-native culture where technology and talent are unstoppable together.
Mission
To put AI to work for people and free people from busywork so they can focus on meaningful work.
Key facts
- Enterprise software / AI platform
- 85% of the Fortune 500 use the ServiceNow AI platform
- Founded after engineer Fred Luddy automated a tedious task for his coworker Phyllis
- Building an AI-native culture