Forward Deployed Solution Engineer - Applied AI FDE

Team Bio:  

ServiceNows 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 valuenot 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 buildowning 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 innovationdelivering 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 stackand 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. 

What Youll Do:  

As a GenAI/ML Engineer on the FDE team you will: 

• Forward Deployed Engineers sit alongside our customers and turn ambiguous business problems into working AI systems.
• Partner directly with customers to discover problems and frame high-impact AI use cases. 
• Design and build end-to-end GenAI/ML systems RAG pipelines agentic workflows evaluation and guardrails and ship them to production. 
• Prototype quickly iterate with real users and harden pilots into reliable monitored services. 
• Own the technical relationship translating between business stakeholders and engineering. 
• Raise the bar for ML depth and engineering quality across the team. 

What Success Looks Like:

• Production-grade delivery:  Your solution builds consistently convert to scaled deployments in production environments 
• Reusable impact:  You author libraries prompts and scaffolds that power multiple deployments and projects 
• Platform influence:  Your work shapes internal tooling and is integrated into platform roadmap and primitives 
• Velocity and precision:  You move fast without breaking thingsshaping resilient secure systems in high-stakes contexts 
• Engineering leadership:  You are trusted by architects PMs and customer teams to lead implementation from zero to one 

Qualifications :

What You Bring:

• Experience:  In leveraging or critically thinking about how to integrate AI into work processes decision-making or problem-solving. This may include using AI-powered tools automating workflows analyzing AI-driven insights or exploring AIs potential impact on the function or industry
• Relevant Experience:  8 years of software engineering including 2 years building systems in customer-facing or embedded roles. Experience building machine learning/ GenAI systems with modern AI/ML technologies including LLMs embeddings vector databases and RAG architectures.
• 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) 
• 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 

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 

Additional Information :

Work Personas

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 religion sex sexual orientation national origin age disability gender identity 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. 

From Fortune. 2026 Fortune Media IP Limited. All rights reserved. Used under license.

Remote Work :

Yes

Employment Type :

Full-time