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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 cutting-edge 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, enrichment, 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 Scripting
- 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
ServiceNow operates with flexible work personas depending on the nature of work and assigned location. The company is committed to creating an accessible and inclusive experience for all candidates.
REQUIREMENTS:
- 6–8 years of software development experience with strong command of an 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 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 and JavaScript (ES6+), or willingness to learn
- 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
