Lead Agentic AI Engineer ID100078

AgileEngine, LLC.

Belo Horizonte

Híbrido

BRL 826.000 - 1.156.000

Jornada completa

Hace 2 días
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Professional growth
Competitive USD-based pay
Exciting projects
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Descripción de la vacante

AgileEngine, LLC. is seeking a Lead AI Engineer in Belo Horizonte, Brazil to design and lead GenAI-powered cloud security workflows.

The role focuses on AI architecture, strategy, and building agentic AI with RAG and vector databases, while guiding a distributed engineering team. You will drive Terraform and Rego policy automation, oversee drift detection and remediation, and shape scalable AI-enabled security tooling within a global organization.

Formación

  • 6+ years of software engineering on public cloud infrastructure.
  • 2+ years building agentic AI with RAG and vector databases.
  • Proven technical leadership in a global organization and mentoring engineers in distributed, follow-the-sun models.

Responsabilidades

  • Architect Generative AI workflows using RAG, vector DBs, and LLM APIs to automate configuration requirements and Terraform modules.
  • Oversee AI-enabled drift detection, continuous discovery, and remediation acceleration.
  • Develop and validate Terraform modules, Rego policies, and Regula test cases for CI/CD pipelines.
  • Lead the Cloud Security Tooling team’s AI enablement initiatives and drive extensible service architectures.

Conocimientos

AI architecture
Cloud security
Technical leadership
Mentoring engineers
RAG & vector databases

Herramientas

Terraform
Rego policies
Regula
LangChain/LangGraph
OpenAI/Anthropic

Descripción del empleo

Belo Horizonte, Brazil | Posted on 11/06/2026

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Lead AI Engineer to design and lead GenAI and agentic workflows that automate cloud security policies and remediation.

The mandatory requirements are AI architecture and strategy experience, 6+ years in software engineering on public cloud, 2+ years building agentic AI with RAG and vector databases, technical leadership, and an upper-intermediate English level.

WHAT YOU WILL DO
  • AI Architecture & Strategy: architect Generative AI workflows (utilizing RAG, vector databases, and LLM APIs) to automate the creation of configuration requirements, Rego policies, and Terraform modules for new cloud services (e.g., AWS S3).
  • Cloud Security Automation: oversee the development of AI-enabled drift detection, continuous discovery, and gap analysis capabilities to accelerate response and remediation activities.
  • Policy & Infrastructure as Code (IaC): accelerate the generation and validation of compliant Terraform modules, Rego policies (for Wiz Custom Configuration Rules), and Regula test cases for CI/CD pipelines.
  • Technical Leadership: act as the technical lead for the Cloud Security Tooling team’s AI enablement initiatives, designing service architecture, and driving extensible frameworks.
MUST HAVES
  • 6+ years of software engineering experience developing applications and services hosted on public cloud infrastructure.
  • 2+ years of experience with cloud infrastructure deployment pipelines and infrastructure as code (IaC).
  • 2+ years of experience developing agentic models (e.g., OpenAI, Anthropic) using Retrieval-Augmented Generation (RAG) and vector databases.
  • Proven capability in technical leadership in a global organization, developing technology strategy and driving technology programs.
  • Proven capability to lead and mentor engineers in a distributed, asynchronous, follow-the-sun model.
NICE TO HAVES
  • Hands-on experience with modern AI orchestration frameworks (LangChain, LangGraph).
  • Hands-on experience writing Rego policies (Open Policy Agent) or Regula test cases.
  • Hands-on experience with Terraform.
  • Familiarity with cloud-native security services in Amazon Web Services, Azure, and Google Cloud Platform.
  • Familiarity with PagerDuty, Atlassian Suite, and ServiceNow.
PERKS AND BENEFITS
  • Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
  • Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
  • Exciting projects: Modern solutions with Fortune 500 and top product companies.
  • Flextime: Flexible schedule with remote and office options.
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