Forward Deployed Solution Engineer – Applied AI FDE (Full Stack Engineer)

ServiceNow; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

A leading enterprise software company is looking for a seasoned engineer to develop AI-native applications that integrate seamlessly in customer environments. This role involves collaborating with clients, building reusable components, and deploying solutions across various platforms. The ideal candidate will have substantial experience in software engineering, strong skills in Python and Java, and a product-focused mindset. Passion for user experience and performance optimization is essential. Join and shape how enterprise AI is implemented globally.

Qualifications

• 8 years of experience in software engineering including 2 years in customer-facing or embedded roles.
• Proven ability to design and implement AI-native software in production.
• Strong experience in backend (Python, Java) and frontend (React, Angular) frameworks.

Responsibilities

• Build LLM-enabled applications spanning backend and front-end.
• Deliver builds in agile sprints from architecture to production.
• Codify reusable assets and share insights with product teams.

Skills

Software engineering

System architecture

Backend APIs (Python, Java)

Frontend APIs (React, Angular)

Data structures and algorithms

DevOps practices

Debugging distributed systems

User value prioritization

Job description

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 and scaffolds to accelerate future engagements
• Shape developer experience by sharing feedback with platform and product teams

What You’ll Do

• Deliver end‑to‑end builds in agile sprints from architecture to deployment in production
• 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

Qualifications: What You Bring

• Experience:8 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, Java) and frontend (React, Angular) APIs (REST/GraphQL)
• Passion for JavaScript and the Web as a platform reusability and componentization
• Experience with data structures, algorithms, object‑oriented design, design patterns and performance/scale considerations
• Experience with any of the modern UI frameworks like Angular, React or Vue
• Analytical and design skills
• 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 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

Preferred Qualifications

• 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

Join us at the frontier of enterprise AI where your code powers AI transformation, your systems go live in the real world and your ideas shape how the future scales.

Equal Opportunity Employer

ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or ancestry, age, disability, gender identity or expression, marital status, veteran status or any other category protected by addition all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.

Accommodations

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 for assistance.

Export Control Regulations

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.