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Salary: USD 221,200 - 387,100 / annual
ServiceNow is seeking an AI Solution Consultant to join the Strategic Initiatives team's new AI Center of Excellence, reporting to the SVP of Strategic Initiatives. This is a builder role focused on designing and shipping AI-native solutions—agents, assistants, and reusable skills—that advance the company's security mission and multiply team impact across the organization.
You will design, build, and bring to production AI agents, assistants, and reusable skills that solve real problems for ServiceNow and its customers. The role emphasizes turning ideas into working MVPs quickly, then partnering with engineering to harden them into reliable, production-ready systems. You will build evaluation rigor into everything you ship—defining what "good" means for each solution, measuring it, and holding the bar. Due diligence through rigorous evaluations is non-negotiable, not an afterthought.
You will compose agentic workflows that are secure by construction, using secure harnesses along with appropriate isolation, guardrails, and controls. You'll select and integrate the right frameworks, tools, and models for each job, turning what works into reusable patterns and best practices for the Center of Excellence. You'll also be part of the COE Consult team to help across the organization and document what you build, including how it should be used, operated, and evaluated.
This role requires fluency in modern AI application development—agent frameworks, harnesses, tool use, prompting, retrieval, and evaluation—not machine learning engineering. You will be expected to work with foundation models and frontier models to compose capable, production-grade AI systems.
REQUIREMENTS:
- Demonstrated expertise in multi-agentic solutions with real AI solutions shipped and in use (agents, assistants, copilots, or skills)—not just prototypes
- Deep, hands-on familiarity with modern agent frameworks and developer tooling, including top-tier provider SDKs (Claude, OpenAI, Google), thorough understanding and use of SKILL.md skills standard, with judgment to select appropriately
- Strong evaluation discipline: building test sets, defining metrics, and measuring quality, safety, and reliability before and after deployment
- Proficiency in Python and comfort integrating APIs, tools, and cloud services (AWS, Azure, or GCP) with containerization (Docker, Kubernetes)
- Bachelor's or Master's in Computer Science, Engineering, or related field, or equivalent professional experience
PREFERRED:
- Experience in security or building AI for security use cases
