Note: The job is a remote job and is open to candidates in USA. ServiceNow is an AI platform company helping businesses connect AI, data, and workflows to improve how they work. The AI Solution Consultant will design, build, evaluate, and deploy production-grade AI agents, assistants, models, and reusable skills for Armis and its customers, while establishing secure, reusable AI development practices across the organization.
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. Due diligence through rigorous evals is non-negotiable, not an afterthought
- 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
- Also 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
Skills
- * 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
Benefits
- Equity (when applicable)
- Variable/incentive compensation
- Health plans, including flexible spending accounts
- A 401(k) Plan with company match
- ESPP
- Matching donations
- A flexible time away plan
- Family leave programs
Company Overview
Company H1B Sponsorship