Senior Staff Software Engineer - Agentic AI
ServiceNow13 hours ago
Responsibilities
- Define technical vision, multi-year roadmaps, architectural patterns, and engineering standards for AI-native and cloud-native systems.
- Lead development of AI platform infrastructure, evaluation frameworks, monitoring, observability, testing infrastructure, security guardrails, and deployment capabilities.
- Design distributed systems, data platforms, embedding systems, retrieval pipelines, and large-scale ServiceNow integrations.
- Drive architectural decisions involving performance, cost, scalability, reliability, model quality, developer experience, and business value.
- Mentor senior engineers, engineering managers, and technical leaders while leading technical hiring, design reviews, and engineering culture initiatives.
- Lead complex technical initiatives, critical incident response, root cause analysis, customer-critical troubleshooting, and strategic customer discussions.
- Guide ServiceNow platform architecture, custom-development trade-offs, advanced integrations, platform upgrades, and compatibility with platform evolution.
- Communicate technical strategy to executives, product leaders, engineers, customers, and partners, and contribute to due diligence and industry engagement.
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 of experience with cloud-native and AI-native systems or equivalent senior-level roles.
- 5+ years of experience with 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, 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, 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 AI/ML evaluation frameworks, metrics systems, production monitoring, secure coding practices, responsible AI, and compliance mechanisms.
- Proven ability to lead cross-functional technical initiatives, shape platform strategy and roadmaps, mentor technical leaders, engage customers, and demonstrate significant technical accomplishments.
- Bachelor's degree in computer science, engineering, or a related field; advanced degree and AI/ML research or publications are preferred.
- Active participation in engineering and AI/ML communities through conferences, publications, open source, or similar activities is preferred.
Benefits
- Flexible work persona options, including flexible, remote, or required-in-office arrangements depending on role and location.
- Regular employee position in North America and Canada.
- Equal opportunity and accessible application accommodations are provided.
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.