Senior Staff Software Engineer - Agentic AI
ServiceNow25 days ago
Base Salary
$191k - $334k/yr
Responsibilities
- Define technical vision, architecture, standards, and multi-year roadmaps for AI-native and cloud-native systems.
- Build and guide evaluation frameworks, monitoring and observability systems, retrieval pipelines, embedding systems, and AI platform infrastructure.
- Design large-scale distributed systems and ServiceNow integrations while balancing performance, cost, scalability, reliability, developer experience, and business value.
- Develop innovative solutions and contribute to critical code paths, prototypes, testing infrastructure, security practices, and responsible AI guardrails.
- Lead architectural reviews, incident root cause analysis, complex troubleshooting, and improvements to prevent recurring production issues.
- Mentor senior engineers, engineering leaders, managers, and interviewers; lead technical hiring and cultivate engineering excellence.
- Influence executives, product and engineering teams, strategic customers, partners, and acquisition or technology evaluation efforts.
- Shape customer-critical incident response, technical escalation, onboarding, integration strategy, and customer feedback programs.
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 building and scaling systems with third-party AI/ML services and platform APIs across multiple cloud providers.
- 3+ years designing and building applications on PaaS 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 architectures, 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, and technical leadership for customer-critical initiatives or strategic accounts.
Benefits
- Base pay of $190,900 - $334,100, plus equity when applicable, variable/incentive compensation, and benefits.
- Health plans including flexible spending accounts, a 401(k) plan with company match, ESPP, matching donations, flexible time away, and family leave programs.
- Flexible work persona within ServiceNow's distributed work model, subject to role and location eligibility.
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.