Lead Agentic AI Engineer ID100078

AgileEngine, LLC.; Buenos Aires; Hybrid; ARS 185,448,000 - 262,719,000; Full time

Benefits offered by this job

Professional growth

Education budget

Team activities budget

Flextime

Remote/office options

Job summary

AgileEngine is seeking a Lead AI Engineer to design and lead GenAI and agentic workflows that automate cloud security policies and remediation.

The role requires 6+ years of software engineering on public cloud, 2+ years with IaC, and 2+ years building agentic models using RAG and vector databases. Strong technical leadership and upper-intermediate English are essential.

Qualifications

• 6+ years of software engineering on public cloud infrastructure.
• 2+ years of experience with cloud deployment pipelines and IaC.
• 2+ years of experience developing agentic models (e.g., OpenAI, Anthropic) using RAG and vector databases.
• Proven capability in technical leadership in a global organization.
• Proven ability to lead and mentor engineers in a distributed, follow-the-sun model.

Responsibilities

• Architect Generative AI workflows using RAG, vector DBs, and LLM APIs to generate config requirements, Rego policies, and Terraform modules for new cloud services.
• Oversee AI-enabled drift detection, discovery, and remediation acceleration in cloud security.
• Accelerate generation and validation of Terraform modules, Rego policies, and Regula test cases for CI/CD pipelines.
• Serve as the technical lead for Cloud Security Tooling AI enablement initiatives, designing service architecture.

Skills

AI architecture

Agentic AI

RAG

Leadership

Distributed teams

Tools

Terraform

Regula

OPA (Open Policy Agent)

LangChain

LangGraph

Job description

BUENOS AIRES, Argentina | Posted on 11/06/2026

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.