AI Expert
Build and ship production-grade AI agents, assistants, and reusable skills for security-focused solutions. The role requires hands-on experience with agent frameworks, evaluation, Python, cloud integrations, and containerization, plus a bachelor's or master's degree or equivalent experience.
About the job
Responsibilities
- Design, build, and bring to production AI models, agents, assistants, and reusable skills that solve real problems for Armis and its customers.
- Turn ideas into working MVPs quickly, then partner with engineering to harden them into reliable, production-ready systems.
- Build evaluations into every solution by defining quality criteria, measuring results, and maintaining rigorous standards.
- Compose secure agentic workflows using secure harnesses, isolation, guardrails, and controls.
- Select and integrate appropriate frameworks, tools, and models, and turn successful approaches into reusable patterns and best practices.
- Participate in the Center of Excellence consulting team to support teams across the organization.
- Document solutions, usage, operation, and evaluation practices.
Requirements
- Experience building and shipping real AI solutions, including agents, assistants, copilots, or reusable skills.
- Hands-on familiarity with modern agent frameworks and developer tooling, including leading provider SDKs and the
SKILL.mdskills standard. - Strong evaluation discipline, including building test sets, defining metrics, and measuring quality, safety, and reliability before and after deployment.
- Proficiency in Python.
- Experience integrating APIs, tools, and cloud services.
- Experience with containerization.
- Bachelor's or master's degree in Computer Science, Engineering, or a related field, or equivalent professional experience.
Preferred Qualifications
- Experience in security or building AI for security use cases.
Compensation and Benefits
- Comprehensive health benefits.
- Discretionary time off.
- Paid holidays, including monthly personal days.
- Inclusive and diverse workplace.
Role Scope
- This is an AI application development and systems-building role, not a machine-learning model-training or training-pipeline role.
Skills
Python, AI Agents, Agent Frameworks, Agent Sdks, Prompt Engineering, Retrieval, Evaluation Metrics, APIs, AWS, Azure, GCP, Docker, Kubernetes, Security Guardrails
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