Lead Embedded Systems Engineer – Bi/Data Solutions

Flexhire; Ciudad de Mendoza; Hybrid; ARS 231,811,000 - 355,443,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

Exciting projects

Flextime

Job summary

AgileEngine is seeking a Lead AI Engineer to design and lead GenAI workflows that automate cloud security policies and remediation. You will Architect Generative AI workflows with RAG, vector databases, and LLM APIs for new cloud services like AWS S3, and drive AI-enabled security tooling across the organization.

The role requires 6+ years in software engineering on public cloud, 2+ years in IaC, and leadership experience in a global context. Flexible remote/office options are available.

Qualifications

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

Responsibilities

• Design Generative AI workflows using RAG, vector DBs and LLM APIs.
• Lead cloud security automation for drift detection and remediation.
• Generate and validate Terraform modules and Rego policies for CI/CD pipelines.
• Act as technical lead for the Cloud Security Tooling team’s AI enablement initiatives.

Skills

AI architecture

Cloud security

Leadership

Mentoring engineers

Tools

Terraform

OpenAI

Anthropic

Rego/Open Policy Agent

Regula

LangChain

LangGraph

Job description

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.