
Senior Staff Software Engineer - Agentic AI
ServiceNow4 hours ago
Base Salary
$191k - $334k/yr
Responsibilities
- Define technical vision, strategy, roadmaps, architectural patterns, and engineering standards for AI-native and cloud-native systems.
- Lead development of AI platforms and infrastructure, including evaluation frameworks, monitoring, security, deployment, retrieval pipelines, embedding systems, and data platforms.
- Design and guide large-scale distributed systems, cloud infrastructure, managed AI services, ServiceNow integrations, and high-performance production architectures.
- Develop innovative solutions, prototypes, critical code paths, testing infrastructure, responsible AI guardrails, and infrastructure-as-code at architectural scale.
- Lead root cause analysis, critical incident response, complex troubleshooting, and initiatives that improve reliability and reduce future support burden.
- Mentor senior engineers, engineering leaders, managers, and interviewers; lead technical hiring and architecture reviews.
- Influence executives, product and engineering leadership, strategic customers, partners, and acquisition or technology-evaluation efforts.
- Define ServiceNow platform architecture, integration patterns, development standards, upgrade strategies, and custom-development trade-offs.
- Engage strategic customers on technical roadmaps, integrations, onboarding, issue resolution, and customer-critical initiatives.
Requirements
- 14+ years of software development experience with a Bachelor's degree, 8+ years with a Master's degree, 5+ years with a PhD, or equivalent work experience.
- Hands-on experience with cloud-native and AI-native systems and LLM/AI systems at scale, including prompt engineering, agent design, retrieval systems, and production AI/ML services.
- 5+ years of experience building and scaling systems with third-party AI/ML services and platform APIs across multiple cloud providers.
- 3+ years of experience designing and building applications on platform-as-a-service or SaaS platforms; deep ServiceNow platform expertise is preferred.
- Expert proficiency in Python, Java, and JavaScript/GlideScript, including ServiceNow scripting, APIs, and platform architecture.
- Expertise in distributed systems, microservices architecture, large-scale systems, data pipelines, embedding systems, vector databases, LLM orchestration, RAG, and retrieval optimization.
- Deep expertise with AWS, GCP, Azure, managed AI services, infrastructure-as-code, Kubernetes, containerization, and cloud-native deployment patterns.
- Experience building evaluation frameworks, metrics systems, and production monitoring for AI/ML systems.
- Strong knowledge of secure coding, responsible AI, compliance requirements, customer-critical initiatives, and strategic technical leadership.
Benefits
- Base benefits include health plans, flexible spending accounts, a 401(k) plan with company match, ESPP, matching donations, flexible time away, and family leave programs.
- The role is regular employment with a flexible work persona in North America and Canada; ServiceNow also uses flexible, remote, or required-in-office work personas depending on role and location.
Categories
About ServiceNow
ServiceNow builds a cloud platform for enterprise digital workflows, covering IT service management, customer service, HR service delivery, security operations, and operations management, plus tools for custom app development. It sells subscription SaaS to large organizations and public-sector agencies to automate processes and connect data across systems. Founded in 2004 and headquartered in Santa Clara, California, ServiceNow is a public company listed on the NYSE under the ticker NOW.