Staff AI-Native Engineer, Flow — Architect & Lead

ServiceNow; Austin (TX); Hybrid; USD 180,000 - 240,000; Full time

Job summary

ServiceNow Flow by ServiceNow is building an AI-native engineering platform. You will contribute to designing and delivering complex features that enable AI-driven workflows across product lines and customer deployments.

In this hands-on role, you’ll shape agent runtimes, prompts, and context management, while mentoring peers and ensuring reliable, secure delivery in a fast-paced, multi-tenant environment.

Qualifications

• Experience integrating AI into work processes and decision-making, including hands-on fluency with AI-assisted/agentic development.
• Strong proficiency in TypeScript or a statically typed language and solid system design skills.
• Hands-on experience building or integrating LLM-based features: prompts, retrieval, evaluation, and cost/latency tradeoffs.
• Knowledge of agentic architectures, tool use, orchestration, and human-in-the-loop controls.
• Clear written and verbal communication, ability to brief senior leaders and align multiple teams.
• Familiarity with enterprise SaaS, multi-tenant systems, and secure, compliant software delivery.

Responsibilities

• Lead design and delivery of complex, cross-functional features from architecture to production operations.
• Build AI-native capabilities: agent loops, tools, prompts, retrieval, and evaluation harnesses with governance.
• Define and drive AI usage across the development lifecycle: code generation, tests, reviews, triage, and documentation.
• Mentor senior and mid-level engineers and set standards for code quality and observability.
• Partner with product, UX, and engineering leads to turn ambiguous problems into scoped, shippable plans.
• Own production quality, including defect triage, release readiness, and gate reviews.

Skills

AI integration

TypeScript

System design

LLM prompts

Agentic architectures

Communication

Enterprise SaaS

Job description

ServiceNow Flow by ServiceNow is building an AI-native engineering platform. You will contribute to designing and delivering complex features that enable AI-driven workflows across product lines and customer deployments.

In this hands-on role, you’ll shape agent runtimes, prompts, and context management, while mentoring peers and ensuring reliable, secure delivery in a fast-paced, multi-tenant environment.