AI Solutions Consultant ( Agentic & Harness Engineering)

Armis; Seattle (WA); On-site; USD 140,000 - 230,000; Full time

Job summary

Armis is seeking an AI Solution Consultant to join its Strategic Initiatives COE in Seattle, WA. This builder role focuses on training and deploying AI-native solutions—agents, assistants, and reusable skills—within security-focused use cases.

You will work with agent frameworks, harnesses, and tooling to deliver production-grade AI systems. The role requires hands-on AI development experience and strong Python/API skills, plus a degree in CS/Engineering or equivalent.

Qualifications

• AI expert in multi-agentic solutions.
• Experience shipping real AI solutions (agents, copilots, or skills).
• Hands-on familiarity with modern agent frameworks and developer tooling.
• Strong evaluation discipline: metrics, tests, safety and reliability.
• Proficiency in Python and integrating APIs, tools and cloud services with containers.

Responsibilities

• Design, build, and productionize models, AI agents, assistants, and reusable skills.
• Turn ideas into MVPs and partner with engineers to harden systems.
• Incorporate evaluation into all deliverables to prove quality and safety.
• Create secure agentic workflows with proper guardrails and controls.
• Document usage, operation, and evaluation for stakeholders.

Skills

AI frameworks

Agent frameworks

Python

API integration

Cloud services

Docker/Kubernetes

Education

BS/MS CS/Engineering

Tools

Claude SDK

OpenAI SDK

Google SDK

Skill.md

Docker

Kubernetes

AWS

Azure

GCP

Job description

AI Solution Consultant - Agentic AI & Harness Engineering

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.

What we're looking for

• 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