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Forward Deployed Solution Engineer – Applied AI FDE

Work from home

Remote role where the employee must remain based in a particular country.

United Kingdom only

From the listing details: Source listing states candidate location: "London, , United Kingdom, London, gb, Remote"

Employer listed it 9 days ago · Added 8 days ago

First listed 9 days ago and still open.

Salary

Not stated

Location

United Kingdom only

Timezone

GMT

Contract

Full-time

Experience

Mid

Category

Sales

The employer did not publish a salary, and we have too few comparable roles to estimate one.

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours
Not mentioned in the advert
Where you can work from
Field readiness:  Able to travel up to 30% to embed onsite and deliver where it matters 
Contract
Not mentioned in the advert
Experience asked for
Not mentioned in the advert
Pay
Not mentioned in the advert

Remote flexibility

Work from home

This is a remote role, but the employee must be based in United Kingdom. It is work from home rather than work from anywhere.

What the employer says

  • Source listing states candidate location: "London, , United Kingdom, London, gb, Remote"

What Nomaders makes of it

  • Residency required in United Kingdom
  • Payroll and tax are likely handled in that country only

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

Before you apply

Questions worth asking: Nomaders interpretation

  • No pay is stated. Ask for the salary range before investing time in interviews.
  • The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the role

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.

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 Software 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. 

Who You Are:

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  

What You’ll Do:  

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 

Requirements

  • ·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 

Benefits

No benefits package published with this listing. Ask about it at first interview.

How to apply

  1. 1Check the flexibility label above, work from home, matches where you plan to live and work.
  2. 2Tailor your CV to the role at ServiceNow, mentioning your remote working experience and working hours (GMT).
  3. 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 9d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

Pay not stated · You'll be taken to the employer's careers page.