Staff Software Engineer

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.  This role requires a blend of technical expertise, leadership skills, and the ability to foster a collaborative and innovative environment. We are looking for a Project Lead familiar with cloud-native and AI-native development practices. Our software is built around AI at its core—LLMs, agents, and retrieval systems—and runs on IaaS (Google Cloud/AWS/etc.), so familiarity with these environments and their managed AI services is a plus. Full ownership of your code will be encouraged, including deployment, testing, evaluation, and validation of both traditional and AI components. You will lead a team of software and AI engineers, coaching and mentoring them. Familiarity with CI/CD, test-driven development, and evaluation-driven development (eval harnesses for AI features) will be a benefit.Responsibility Area: Software DevelopmentDevelop intuitive AI-native software that meets and exceeds the needs of the companyDevelopment of technical specifications and planning, including model selection, prompt/agent design, and data/retrieval architectureAnalyze and automate tests for software components prior to delivery, and build evaluation harnesses (accuracy, regression, and hallucination checks) for AI featuresTroubleshoot coding and model-behavior problems quickly and efficiently to ensure a productive workplaceFollow secure software coding practices, including AI-specific safeguards (prompt-injection defense, data privacy, PII handling, and responsible-AI guardrails)Professionally maintain all software and create updates regularly to address customer and company concerns, including monitoring model performance and drift in productionIaaS procedures and practices, including managed AI/ML services (e.g., Bedrock/SageMaker, Azure OpenAI, Vertex AI)Experience with Kubernetes and containerization is welcome; experience serving models or deploying inference/GPU workloads is a plusResponsibility Area: CommunicationCommunicate effectively and professionally in all forms of communication with internal and external customersLiaise with team members, management, and clientsBe transparent about challenges, failures, and successes, including the limitations and non-deterministic nature of AI systemsDeliver presentations and write progress reports for stakeholders, translating AI capabilities and trade-offs for both tec...