Senior Staff Software Engineer - Agentic AI
ServiceNow14 hours ago
Base Salary
$191k - $334k/yr
Responsibilities
- Define technical vision, architecture, standards, and multi-year roadmaps for AI-native and cloud-native systems.
- Lead development of AI platforms and infrastructure, including evaluation frameworks, monitoring, security, deployment, testing, and responsible AI guardrails.
- Design distributed systems, data platforms, embedding systems, retrieval pipelines, and production AI/ML services at scale.
- Guide ServiceNow platform architecture, integrations, customizations, managed services, upgrades, and compatibility strategy.
- Mentor senior engineers, engineering managers, and technical leaders; lead technical hiring, interviews, design reviews, and career development.
- Lead critical incident analysis, complex troubleshooting, customer-critical initiatives, strategic customer engagements, and technical due diligence.
- Prototype emerging AI/ML approaches, contribute to critical code paths and open-source or research initiatives, and communicate strategy across technical and executive audiences.
Requirements
- 12+ 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.
- 4+ years working with cloud-native and AI-native systems or equivalent senior-level experience.
- 5+ years building and scaling LLM/AI systems, including prompt engineering, agent design, retrieval systems, and production AI/ML services.
- 5+ years building systems with third-party AI/ML services and platform APIs across multiple cloud providers.
- 3+ years designing applications on PaaS or SaaS platforms, with deep ServiceNow platform expertise at scale.
- Expert proficiency in Python, Java, JavaScript/GlideScript, ServiceNow scripting, APIs, and platform architecture.
- Expertise in distributed systems, microservices architecture, large-scale systems, data pipelines, embedding systems, vector databases, LLM orchestration, and RAG architectures.
- Deep cloud, Kubernetes, containerization, cloud-native deployment, evaluation framework, production monitoring, secure coding, responsible AI, and compliance experience.
- Proven technical leadership across large cross-functional initiatives, platform strategy, customer-critical work, and mentoring senior technical staff.
- Bachelor's degree in computer science, engineering, or a related field; advanced degree, AI/ML research, publications, community engagement, and thought leadership are preferred.
Benefits
- Base pay is $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 are offered.
- The role uses ServiceNow's flexible distributed work personas, with eligibility determined by role and location.
- This is a regular employee position in North America and Canada with a flexible work persona.
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.