AI Engineer, Enterprise AI (Principal/Sr. Principal/Distinguished)
Core
Design, build, and operationalize AI-enabled workflows and systems that connect enterprise data sources, model APIs, and automation layers to improve speed, quality, and business impact.
Role type
Principal AI Engineer (Agentic AI & Workflow Orchestration)
Builds
Production AI workflows, knowledge assistants, and decision support systems for enterprise IT environments.
Domain
Enterprise Cybersecurity & AI Systems Integration
Deliverable
production ML models | product features
Required skills
Agentic AI development, workflow orchestration, LLM API integration, retrieval-augmented generation, prompt engineering, AI observability, systems architecture, API integration, production deployment, business problem formulation
Preferred skills
Enterprise-scale security/compliance experience, production telemetry monitoring, open-source contributions, emerging AI tooling expertise
Technologies
LLM APIs, retrieval-augmented generation, workflow orchestration frameworks, event-driven patterns
Responsibilities
Build and deploy AI-enabled internal workflows connecting enterprise systems and data sources; Design and improve retrieval, prompting, and orchestration patterns for internal use cases; Leverage AI-assisted development to audit and secure AI-generated code; Develop evaluation approaches for output quality and latency; Lead problem formulation with business stakeholders; Contribute reusable components and patterns to reduce duplicate effort; Identify human review controls for responsible AI deployment; Balance speed, usability, risk, and maintainability in production environments
Seniority
Principal, hands-on IC with strategic impact
