Lead GenAI Architect for Cloud Security

AgileEngine, LLC.; Victoria; Hybrid; ARS 231,811,000 - 324,535,000; Full time

Benefits offered by this job

Professional growth

Competitive USD pay

Exciting projects

Flextime

Job summary

AgileEngine, LLC. seeks a Lead AI Engineer to design and lead GenAI workflows that automate cloud security policies and remediation. You will shape AI architecture and strategy across public cloud environments to accelerate secure deployments.

The role requires 6+ years in software engineering on public cloud, 2+ years building agentic AI with RAG and vector databases, and strong leadership. Upper-intermediate English is required; remote/hybrid options available.

Qualifications

• 6+ years of software engineering on public cloud infrastructure.
• 2+ years of experience with cloud infrastructure deployment pipelines and IaC.
• 2+ years of experience developing agentic models using RAG and vector databases.
• Proven technical leadership in a global organization developing technology strategy.
• Ability to lead and mentor engineers in a distributed, follow-the-sun model.
• Upper-intermediate English level.

Responsibilities

• AI Architecture & Strategy: design Generative AI workflows using RAG, vector DBs, and LLM APIs; generate configuration requirements, Rego policies, and Terraform modules for new cloud services.
• Cloud Security Automation: lead AI-enabled drift detection, discovery, and remediation acceleration.
• Policy & IaC: generate and validate Terraform modules, Rego policies, and Regula tests for CI/CD pipelines.
• Technical Leadership: lead the Cloud Security Tooling team's AI enablement, design service architecture, and drive extensible frameworks.

Skills

AI Architecture

Cloud Infra Dev

RAG & Vector DB

Technical Leadership

Mentoring Engineers

English Proficiency

Tools

Terraform

Open Policy Agent (Rego)

Regula

LangChain

LangGraph

Job description

AgileEngine, LLC. seeks a Lead AI Engineer to design and lead GenAI workflows that automate cloud security policies and remediation. You will shape AI architecture and strategy across public cloud environments to accelerate secure deployments.

The role requires 6+ years in software engineering on public cloud, 2+ years building agentic AI with RAG and vector databases, and strong leadership. Upper-intermediate English is required; remote/hybrid options available.