Forward Deployed Solution Engineer

ServiceNow; Singapore; On-site; SGD 90,000 - 120,000; Full time

Job summary

A leading enterprise software company seeks a full-stack engineer to develop LLM-enabled applications. The role involves building intuitive UIs and scalable systems, collaborating closely with customers to adapt solutions in real-time. Candidates should have 8 years of software engineering experience and a strong background in AI integration. The position is full-time with flexibility on work location, though no remote work is permitted.

Qualifications

• 8 years of software engineering experience with customer-facing roles.
• Proven experience designing AI-native systems in production.
• Skilled in debugging distributed systems and performance tuning.

Responsibilities

• Build LLM-enabled applications across the stack.
• Deliver projects in agile sprints from architecture to deployment.
• Operate in live environments with customers for collaboration.

Skills

Software engineering

AI integration

Systems architecture

Backend (Python, Java)

Frontend (React, Angular)

APIs (REST/GraphQL)

Data structures and algorithms

DevOps fluency

Performance tuning

Database management

Job description

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 to 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.

What 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

• 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) frontend (React, Angular) APIs (REST/GraphQL)
• Experience with data structures, algorithms, object‑oriented design, design patterns, and performance/scale considerations
• Experience with 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 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

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.

Additional Information

We approach our distributed world of work with flexibility and trust. Work personas (flexible remote or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third‑party service.

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 nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. 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.

Remote Work: No

Employment Type: Full‑time

Key Skills

• Sales Experience
• ADAS
• Customer Service
• AI
• Computer Skills
• Retail Sales
• Product Demos
• Automotive Diagnostics
• Automotive Repair
• Business requirements
• Cash Handling
• Enterprise Sales

Vacancy: 1