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ServiceNow is seeking a Senior Infrastructure Developer to design, implement, and operate multi-agent AI workflows that bring automation and intelligence to accelerate asset management. This role sits at the intersection of enterprise software and agentic AI systems.
In this position, you will:
- Design and build intelligent agent workflows that coordinate specialized AI agents through controlled orchestration frameworks
- Engineer end-to-end multi-agent pipelines spanning data retrieval, reasoning, evaluation, and decision-making
- Integrate frontier AI models (OpenAI, Gemini, Claude) or fine-tuned internal models for reasoning and contextual decision-making, selecting and switching models based on complexity, cost, and accuracy trade-offs
- Develop robust back-end services and APIs using Python or ServiceNow
- Collaborate 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
- Design, develop, and maintain existing features while enhancing platform capabilities based on user feedback
ServiceNow is the AI control tower for business reinvention, working with 85% of the Fortune 500. The company is building an AI-native culture where technology and talent drive business transformation.
REQUIREMENTS:
- 6–8 years of software development experience with strong command of an object-oriented language (Java or Python)
- Hands-on experience developing LLM-powered or agent-based systems using production frameworks
- 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
- 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, and analyzing AI-driven insights
- Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving
