What are the responsibilities and job description for the Lead Artificial Intelligence Engineer ID87377 position at AgileEngine?
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 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 AND BENEFITS
- 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