Lead Agentic AI Engineer ID100078

AgileEngine; Cartagena de Indias; Ibrido; COP 388.777.000 - 518.370.000; Tempo pieno

Vantaggi offerti da questo lavoro

Professional growth

Competitive USD-based pay

Exciting projects

Flextime with remote/office options

Descrizione del lavoro

AgileEngine, LLC. is seeking a Lead AI Engineer in Cartagena to design and lead GenAI workflows automating cloud security policies. You will guide AI architecture, policy generation, and Terraform modules for new cloud services, driving security and automation at scale.

The role requires AI architecture experience, 6+ years in software on public cloud, 2+ years with RAG and vector databases, and strong technical leadership in a global team. Fluency in upper-intermediate English is expected.

Competenze

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

Mansioni

• Architect Generative AI workflows using RAG, vectors and LLM APIs.
• Oversee AI-enabled drift detection, discovery, and remediation.
• Accelerate Terraform module and Rego policy generation for CI/CD.
• Lead the Cloud Security Tooling AI enablement initiatives.

Conoscenze

6+ years software engineering

2+ years cloud deployment pipelines

2+ years agentic models (RAG & vector)

Technical leadership

Global distributed teams leadership

Strumenti

Terraform

Open Policy Agent / Rego

Regula tests

LangChain / LangGraph

Vector databases

Descrizione del lavoro

Cartagena, Colombia | 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.