ServiceNow
Staff Software Engineer
$166K–$291K
Santa Clara, CALIFORNIA, United States +1 · Hybrid · Staff · Full-time · Posted Sep 24, 2026
- Location
- Santa Clara, CALIFORNIA, United States
San Diego, CALIFORNIA, United States - Experience
- 7+ years of software engineering.
- Education
- Bachelor's degree in CS, software engineering, or a related technical field, or equivalent practical experience.
About the job
Sets technical direction and builds architecture, standards, and evaluation infrastructure for safe, agentic and conversational AI experiences in ServiceNow’s HR domain.
What you'll do
- Own HR-domain AI architecture, model and orchestration decisions, and autonomy boundaries for agent actions.
- Build shared, upgrade-safe instructions and tools, plus evaluation, observability, and safety infrastructure for teams shipping AI experiences.
- Provide hands-on technical leadership for integrations, migrations, prototypes, and incidents; partner with product, engineering, and design.
What they ask for
- 7+ years of software engineering experience, with technical direction adopted beyond the immediate team.
- Hands-on experience authoring agentic instructions and prompts, designing autonomous workflows, and building evaluations.
- Production experience with LLM APIs, retrieval-grounded features, agent orchestration, tool and function calling, structured output enforcement, and at least one production model or orchestration migration.
- Experience with entitlement-aware data handling and evaluation infrastructure; strong system design, APIs, data modeling, testing, AI coding assistant use, and customer-facing on-call and incident command experience.
Nice to have
- HR domain experience in case management, employee journeys or lifecycle, or payroll/benefits/leave/absence.
- Integration with core HR, payroll, or benefits systems; contribution in a Forward deployment model.
Pay
$166,500 - $291,400 USD base salary
Tools
Java, JavaScript/TypeScript, React, LLM APIs
AI focus
Designs and governs production agentic HR experiences, including prompts, orchestration, retrieval, tool use, autonomy and safety boundaries, evaluation, and AI-assisted engineering standards; does not train foundation models.
Model-written summary · the original posting is authoritative