Lead Agentic AI Engineer

AgileEngine, LLC.

Brasil

Remoto

BRL 300.000 - 540.000

Tempo pieno

2 giorni fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

Growth opportunities
Competitive compensation
Remote work with flexible hours
Modern, impactful projects
Collaborative culture
Well-being programs

Descrizione del lavoro

AgileEngine, LLC. seeks a Lead AI Engineer to design and lead GenAI and agentic workflows that automate cloud security policies and remediation.

You will architect AI workflows using RAG, vector databases, and LLM APIs to automate configuration requirements, Rego policies, and Terraform modules for new cloud services. You will also oversee AI-enabled drift detection, continuous discovery, and gap analytics to accelerate remediation, and act as the technical lead for the Cloud Security Tooling

Competenze

  • 6+ years of software engineering on public cloud infrastructure.
  • 2+ years building agentic AI using RAG and vector databases.
  • Proven technical leadership in a global organization.
  • Upper-intermediate English level.

Mansioni

  • Design GenAI workflows and agentic AI architectures for automation of cloud security policies and remediation.
  • Oversee AI-enabled drift detection, discovery, and gap analysis for faster remediation.
  • Accelerate generation and validation of Terraform modules, Rego policies, and Regula test cases for CI/CD pipelines.
  • Lead and mentor engineers within a distributed, follow-the-sun model.

Conoscenze

AI architecture
Technical leadership
Cloud security
English proficiency

Strumenti

LangChain
LangGraph
Terraform
Open Policy Agent

Descrizione del lavoro

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.
  • Upper-intermediate English level.
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
  • Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
  • Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
  • Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
  • Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
  • Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
  • Well-being & support: access local well-being programs and people-focused support tailored to your location
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