Posted 8 days ago
Senior Infrastructure Developer
AI Summary
Design, build, and operate multi-agent AI workflows for asset management, integrating frontier models and RAG strategies into enterprise ServiceNow platforms.
About this role
Senior Infrastructure Developer
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.
As a Software Engineer, you will design, implement, and operate multi-agent workflows that bring automation and intelligence to accelerate asset management.
What you get to do in this role:
- Design and build intelligent agent workflows that coordinate specialized AI agents through controlled orchestration frameworks.
- Engineer end-to-end multi-agent pipelines — from data retrieval and reasoning to evaluation and decision-making.
- Integrate frontier AI models (OpenAI, Gemini, Claude), or fine-tuned internal models for reasoning, enrichment, and contextual decision-making — select and switch models based on complexity, cost, and accuracy trade-offs.
- Design, develop and maintain existing features, and enhance platform capabilities based on user feedback.Develop robust back-end services and APIs (Python or ServiceNow).
- Collaborate closely with SAM/HAM domain experts,product managers, and engineers to translate automation goals into resilient agentic systems.
- Build intuitive UIs and dashboards in Service Portal, React, or Angular
- Leverage retrieval-augmented generation (RAG) strategies to ground AI reasoning in factual context from data sources — ensuring decisions are traceable and verifiable.
- Apply observability, logging, and traceability across all agent workflows to ensure reproducibility, reliability, and continuous improvement.
- Participate in code reviews, post-deployment analysis, and production debugging to maintain system quality and stability at scale.
Qualifications
To be successful in this role you have:
- 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 AI's potential impact on the function or industry.
- 6-8 years of software development experience with strong command on a any object oriented language Java/Python.
- Hands-on experience developing LLM-powered or agent-based systems using frameworks for production use cases.
- Deep understanding of REST APIs, event-driven systems, asynchronous workflows, and scalable back-end design.
- Experience implementing frontier AI models in enterprise workflow applications.
- Strong problem solving & foundation in data structures, algorithms, object-oriented design, and design patterns, with attention to performance and scalability.
- Experience deploying AI or automation systems in production, emphasizing versioning, traceability, and performance monitoring.
- Familiarity with retrieval-augmented generation (RAG), vector stores, and prompt optimization.
- Working knowledge of the ServiceNow platform or willingness to learn it.
- Strong focus on code quality, observability, logging, and traceability — these are non-negotiable.
- Demonstrated ability to leverage or critically evaluate AI integration in work processes, decision-making, or problem-solving — including using AI-powered coding tools, automating workflows, analyzing AI-driven insights, and exploring AI's impact on business functions.
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 [email protected] 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.
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