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About the Role
This is a builder role focused on designing and shipping AI-native solutions, including agents, assistants, and reusable skills, to advance the company's security mission and multiply team impact. The role requires fluency in modern AI application development, not machine learning engineering, and involves training foundation/frontier models to compose capable, production-grade AI systems.
Responsibilities
- Design, build, and bring to production ready: models, AI agents, assistants, and reusable skills that solve real problems for Armis and its customers.
- Turn ideas into working MVPs fast, then partner with engineering to harden them into reliable, production-ready systems.
- Build evaluation into everything you ship — define what "good" means for each solution, measure it, and hold the bar.
- Compose agentic workflows that are secure by construction, using secure harnesses along with appropriate isolation, guardrails, and controls.
- Select and integrate the right frameworks, tools, and models for each job, and turn what works into reusable patterns and best practices for the COE.
- Be a part of the COE Consult team to help across the organization.
- Document what you build and how it should be used, operated, and evaluated.
Requirements
- An AI Expert in Multi-agentic solutions.
- Demonstrated experience building real AI solutions — agents, assistants, copilots, or skills — that shipped and got used, not just prototyped.
- Deep, hands-on familiarity with modern agent frameworks and developer tooling (agent SDKs such as the Top 3 providers SDKs (Claude, OpenA and Google), thorough understanding and use of SKILL.md skills standard, plus the judgment to know which to reach for when.
- 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 a related field, or equivalent professional experience.
- Experience in security, or building AI for security use cases.
- Have run NPS at a company where the number was reported externally or to a board, with the scrutiny that brings.
- Know the difference between a journey map that generated consensus and one that generated decisions.
- Have worked across both product and post-sale organizations and can speak either language.
Skills
- AI application development
- Agent frameworks
- Harnesses
- Tool use
- Prompting
- Retrieval
- Evaluation
- Foundation models
- Frontier models
- Python
- API integration
- Cloud services (AWS, Azure, or GCP)
- Containerization (Docker, Kubernetes)
Location
- AMS - North America and Canada
Work Type
- Flexible
- Remote
Experience Level
- AI Expert
Education Level
- Bachelor's or Master's in Computer Science, Engineering, or a related field, or equivalent professional experience.
Salary/Compensations
- $221,200 - $387,100
Benefits
- Equity (when applicable)
- Variable/incentive compensation
- Health plans
- Flexible spending accounts
- 401(k) Plan with company match
- ESPP
- Matching donations
- Flexible time away plan
- Family leave programs
About the Company
- ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together.
Equal Opportunity
- ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.