Director, Forward Deployed Solutions 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 Platform. 

Our mission: We embed deeply with customers to build intelligent scalable AI solutions for their most critical business challenges. By solving complex real-world problems at speed we codify repeatable patterns that scale across the enterpriseinfluencing both customer success and the future of the platform. 

Why This Role Matters: 

Enterprises are raising the bar. AI initiatives must deliver measurable business valuenot just theoretical promise. That requires turning cutting-edge LLM capabilities into resilient secure and scalable software systems that solve real-world problems. 

As a Director Forward Deployed Software Engineer (FDSE) you lead high-performing engineering teams embedded with customers to deliver production-ready GenAI solutions. You provide technical direction unblock delivery challenges and ensure architectural integrity across the full stackfrom backend services and LLM pipelines to front-end integrations. Your leadership turns prototypes into reference implementations accelerates innovation and drives repeatable success across industries. You shape internal tooling codify engineering patterns and cultivate a culture of excellence and impact. 

Who You Are: 

You are a strategic engineering leader with deep systems thinking and a passion for building AI-native software at scale. You empower your teams to own the full stackbalancing elegant APIs intuitive UIs and scalable orchestration pipelines. You think like a product-minded CTO guiding your engineers to deliver solutions that are both technically sound and business-aligned. 

You thrive in complex customer-facing environments helping your teams navigate ambiguity diagnose root problems and architect intelligent workflows that scale. You dont just debug codeyou coach engineers debug systems and align delivery with enterprise outcomes. You lead with empathy foster collaboration and elevate the technical bar across every engagement. 

You Will:

• Lead Teams Building Solution-Ready Applications: Guide engineering teams in developing LLM-enabled applications that span backend logic data orchestration and front-end UIensuring technical excellence and business alignment. 
• Drive Field Execution: Oversee customer-embedded engagements enabling your teams to adapt deploy and iterate solutions in live environments with agility and precision. 
• Codify Reusable Engineering Assets: Direct the creation of reusable libraries prompt scaffolds and modular components that accelerate future delivery and scale impact. 
• Shape Developer Experience: Channel field insights into platform and product teams influencing roadmap priorities and improving tooling for broader engineering adoption. 

What Youll Do: 

• Deliver End-to-End Solutions Through Teams: Ensure your teams deliver complete buildsfrom architecture to production-ready deploymentwithin agile sprint cycles. 
• Guide Versatile Engineering Practices: Mentor engineers across the stackAPIs orchestration pipelines vector databases LLM frameworks and UI componentsfostering technical depth and adaptability. 
• Enable Agile Execution: Help teams navigate legacy integrations ambiguity and high-stakes environments while maintaining speed and safety in delivery. 
• Scale Through Codified Patterns: Lead the development of scaffolds SDKs and documentation that enable repeatable success across customer engagements. 
• Influence Platform Strategy: Translate field-tested insights into actionable feedback for product and platform teams driving extensible improvements and innovation. 

What Success Looks Like: 

• Production-ready delivery: Your solution builds consistently convert to scaled deployments in production-ready 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: 13 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-ready 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-ready deployments in secure regulated enterprise environments 
• Contributions to dev experience tooling frameworks or reusable AI scaffolds 

Join us at the frontier of enterprise AIwhere your leadership powers transformation your teams ship real-world systems and your vision shapes how the future scales.

For positions in this location we offer a base pay of $236000 - $413000 plus equity (when applicable) variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline and individual total compensation will vary based on factors such as qualifications skill level competencies and work location. We also offer health plans including flexible spending accounts a 401(k) Plan with company match ESPP matching donations a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

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 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 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. 

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