ServiceNow
Senior Staff Software Engineer - Agentic AI
$191K–$334K
Santa Clara, CALIFORNIA, United States · Hybrid · Senior Staff · Full-time · Posted Oct 14, 2026
- Experience
- 14+ years with a Bachelor's degree; OR 8+ years with a Master's degree; OR 5+ years with a PhD; OR equivalent work experience. Also specifies 5+ years building and scaling with third-party AI/ML services and APIs, and 3+ years on PaaS or SaaS platforms.
- Education
- Bachelor's degree, Master's degree, or PhD, with experience alternatives stated; OR equivalent work experience.
About the job
Sets technical direction and architects AI-native, cloud-native, and ServiceNow systems, while leading platform development, engineering standards, and senior-level technical mentorship.
What you'll do
- Define architecture and technical roadmaps for AI-native and cloud-native platforms, including evaluation, monitoring, security, and deployment.
- Design scalable AI/ML systems, data and retrieval pipelines, and responsible AI guardrails; guide complex production incident resolution.
- Mentor senior engineers and influence engineering strategy, standards, hiring, and cross-organizational technical decisions.
What they ask for
- Hands-on experience with cloud-native and AI-native systems or equivalent senior-level roles, including LLM/AI systems at scale.
- 5+ years building and scaling systems using third-party AI/ML services and platform APIs across multiple cloud providers.
- Expert-level proficiency in Python, Java, and JavaScript/GlideScript; expertise in distributed systems, microservices, and large-scale systems.
- Expertise in LLM orchestration, RAG, vector databases, cloud computing, Kubernetes, AI/ML evaluation and monitoring, security, and responsible AI.
Nice to have
- 3+ years designing and building applications on PaaS or SaaS platforms; deep ServiceNow platform expertise at scale is preferred.
- Experience leading customer-critical initiatives or providing technical leadership on strategic accounts.
Pay
$190,900 - $334,100 USD base salary
Tools
Python, Java, JavaScript/GlideScript, ServiceNow, AWS/GCP/Azure, Kubernetes, infrastructure-as-code, vector databases
AI focus
Leads architecture and development of AI-native systems, including LLM agents, prompt engineering, retrieval and RAG, evaluation, production monitoring, managed AI services, and responsible AI guardrails.
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