Principal AI Platform Engineer

Company Description

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.

Job Description

The Principal AI Platform Software Engineer acts as the Forward Deployed Engineer (FDE) lead architect directing a group of FDEs in the CRM & Industry Engineering organization to design, build, ship, and operate autonomous intelligence systems — agent runtimes, reasoning pipelines, orchestration platforms, and AI-native applications. Across the full development and deployment lifecycle, the Principal FDE translates customer and product problems into precise specifications, directs autonomous and semi-autonomous agents to generate AI Agents, engineers the context and guardrails that make that output reliable, and verifies that the resulting systems are correct, secure, reliable, and maintainable.

• Act as the Lead Architect for a group of FDEs. Establish FDE best practices and reference architecture across the group of 30+ FDEs in the CRM & Industry Engineering organization deploying Agentic AI solutions across Case Management and Conversational channels like Voice and Chat.
• Translate customer use cases into precise specifications. Convert customer AI use cases into efficient Agentic AI solutions using the ServiceNow AI Platform and other AI tools.
• Orchestrate AI agents to build and refactor software. Decompose work into agent-sized tasks and direct AI coding agents and tools to generate, modify, and refactor production code across multiple files and services, supervising several workstreams in parallel.
• Engineer context for reliable agent output. Author and maintain the context that drives correct results — system prompts, agent configuration and instruction files, architectural decision records, glossaries, golden examples, and agent-readable documentation — and curate what information enters the model at the right level of detail.
• Verify and review output against intent. Rigorously evaluate code — human- or agent-generated — for correctness, spec adherence, security, performance, and maintainability, confirming behavior matches intent and that edge cases, failure modes, and concurrency are genuinely handled rather than superficially passing tests.
• Make architectural and design decisions under uncertainty. Determine what to build, in what sequence, and within what constraints before agents begin work, and decide when to delegate to an agent versus implement directly, ensuring solutions fit cleanly into the broader system. O
• Own quality, security, and reliability in production. Take end-to-end responsibility for the software you ship — integrating changes safely, monitoring production, defending against risks like prompt injection and secret leakage, and feeding production signals back into specs and evaluation sets.

Qualifications

A demonstrated track record of building, shipping, and operating production software, with hands-on experience delivering real systems using AI-native methods (agentic coding tools and AI-assisted workflows) and working with customers in deploying AI as a Forward Deployed Engineer (FDE).

Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience. Advanced degrees or relevant certifications are a plus but are not a substitute for demonstrated ability to ship reliable software with AI-native practices.

Key Competencies, Skills, and Experience

• Software engineering fundamentals. Strong command of data structures, algorithms, system design, testing, and modern software development practices.
• Solid AI/ML fundamentals. A working command of the machine learning concepts that govern how these systems behave — model training and evaluation, embeddings, and the probabilistic, non-deterministic output and failure modes of modern LLMs and deep learning
• Fluency with AI coding tools and agent patterns. Practical, current proficiency with agentic coding tools and AI-assisted development workflows, including an understanding of agent architectures and tool-use patterns.
• Agentic AI and autonomous systems. Hands-on experience designing and operating autonomous agent systems — planning loops, dynamic tool invocation, memory management, execution policies, and multi-agent collaboration — that select and sequence actions reliably at runtime, not in prototypes.
• Context engineering. Skill in designing systems that determine what information models receive, when it is retrieved, and how context evolves over time.

For positions in this location, we offer a base pay of $221,200 - $387,100, 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, religion, sex, sexual orientation, national origin, age, disability, gender identity,  veteran status, or any other category protected by law. In 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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