Lead Agentic AI Engineer ID100078

AgileEngine, LLC.; Porto Alegre; Ibrido; BRL 771.000 - 1.156.000; Tempo pieno

Vantaggi offerti da questo lavoro

Professional growth

Competitive compensation

Exciting projects

Flextime

Descrizione del lavoro

AgileEngine, LLC. in Porto Alegre, Brazil is seeking a Lead AI Engineer to design GenAI and agentic workflows that automate cloud security policies and remediation.

You will lead architecture and strategy across AI-enabled security tooling, with emphasis on RAG, vector databases, and Terraform modules. You will guide a global engineering team, mentor engineers, and drive cross-functional initiatives to deliver scalable security solutions for Fortune 500 clients, while working in a flexible

Competenze

• 6+ years of software engineering experience hosting apps on public cloud.
• 2+ years deploying IaC pipelines.
• 2+ years building agentic AI with RAG and vector databases.
• Proven technical leadership in a global org.
• Experience mentoring engineers in distributed, follow-the-sun teams.

Mansioni

• Architect AI workflows using RAG, vector databases, and LLMs to automate cloud security configurations.
• Oversee AI-enabled drift detection, discovery, and remediation acceleration.
• Generate and validate Terraform modules and Rego policies for CI/CD.
• Provide technical leadership for Cloud Security Tooling AI enablement and architecture.

Conoscenze

Software engineering

Technical leadership

Mentoring engineers

Distributed teams

English communication

Strumenti

LangChain

LangGraph

Terraform

OpenAI

Anthropic

Rego

Regula

Descrizione del lavoro

Porto Alegre, 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.