Lead Artificial Intelligence Engineer

AgileEngine, LLC.; United States; Remote; USD 180,000 - 240,000; Full time

Benefits offered by this job

Growth without limits

Competitive compensation

Flexibility: 100% remote work

Meaningful, modern projects

Collaborative culture

Well-being & support

Job summary

AgileEngine, LLC. is seeking a Lead AI Engineer to architect generative AI workflows that accelerate cloud configuration and remediation.

You will guide AI enablement initiatives, mentor engineers across a distributed, follow-the-sun team, and design scalable IaC and policy automation in Terraform and Rego. Responsibilities include shaping AI architecture, implementing drift detection and continuous discovery, and leading the Cloud Security Tooling team's AI efforts using RAG, vector databases,

Qualifications

• 6+ years of software engineering experience developing applications on public cloud infrastructure.
• 2+ years of experience with cloud infrastructure deployment pipelines and IaC.
• 2+ years of experience developing Agentic models using RAG and vector databases.
• Proven capability of technical leadership in a global organization.
• Proven capability to lead and mentor engineers in a distributed, asynchronous model.
• Upper-intermediate English level.

Responsibilities

• AI Architecture & Strategy: architect Generative AI workflows using RAG, vector databases, and LLM APIs to automate Terraform modules and policies.
• Cloud Security Automation: drift detection, continuous discovery, and remediation acceleration.
• Policy & IaC: generate and validate Terraform modules, Rego policies, and Regula test cases for CI/CD.
• Technical Leadership: lead the Cloud Security Tooling team's AI enablement initiatives and design extensible service architectures.

Skills

Software engineering

Cloud infrastructure

Leadership & mentoring

English communication

RAG & LLM workflows

Tools

Terraform

Rego policies

Regula

LangChain

LangGraph

Open Policy Agent

Job description

About the role

We are looking for a Lead AI Engineer to architect generative AI workflows that accelerate cloud configuration and remediation. Using RAG, vector databases, and LLM APIs, this person automates Terraform modules and Rego policies while guiding the technical direction of AI enablement initiatives. Mentoring engineers across a distributed, follow-the-sun team is part of the role.

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 of 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