Principal Systems Engineer

AI Solution Consultant

Armis is seeking talented, motivated AI builders to join our Strategic Initiatives team as part of a new AI Center of Excellence. Reporting to the SVP of Strategic Initiatives, this team designs and ships AI-native solutions — agents, assistants, and reusable skills — that advance Armis's security mission and multiply the impact of teams across the company.

This is a builder role. We're looking for engineers fluent in modern AI application development — agent frameworks, harnesses, tool use, prompting, retrieval, and evaluation — not machine learning engineers. You will be expected to train foundation models / frontier models . You will compose capable, production-grade AI systems on top of frontier models, get them into people's hands, and bring the rigor to prove they actually work.

What you'll do

• 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.

• 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.

Preferred 

Experience in security, or building AI for security use cases 

 

For positions in this location, we offer a base pay of $221,200 - $ 387,100, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs.

 

Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

• 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