Lead Agentic AI Engineer ID100078

AgileEngine, LLC.; São Bernardo do Campo; Híbrido; BRL 881.000 - 1.156.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

USD-based pay

Exciting projects

Flextime

Descripción de la vacante

AgileEngine in São Paulo, Brazil seeks a Lead AI Engineer to design and lead GenAI workflows that automate cloud security policies and remediation. You will shape architecture and influence a global engineering team.

You will work with RAG, vector databases, Terraform modules, and Rego policies to accelerate policy generation and CI/CD testing. The role combines hands-on AI work with technical leadership across distributed teams.

Formación

• 6+ years of software engineering on public cloud platforms.
• 2+ years with cloud deployment pipelines and IaC.
• 2+ years building agentic AI using RAG and vector databases.
• Proven leadership in a distributed, global organization.
• Ability to mentor engineers in a follow-the-sun model.

Responsabilidades

• Design GenAI workflows with RAG, vector DBs, and LLM APIs to automate cloud service configurations.
• Oversee AI-enabled drift detection and remediation in cloud security.
• Develop IaC modules, Rego policies, and Regula test cases for CI/CD.
• Lead Cloud Security Tooling team's AI enablement initiatives and architecture.

Conocimientos

Technical leadership

Mentoring engineers

AI/GenAI architecture

Cloud security

RAG & vector DBs

Herramientas

Terraform

Rego (OPA)

Regula

Descripción del empleo

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

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.