Lead Agentic AI Engineer

ID80141

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 Agentic AI Engineer to serve as the senior AI developer for a Cloud Security Tooling team, architecting GenAI workflows that automate configuration baseline enforcement, drift detection, and remediation across public cloud infrastructure. You will design RAG-based systems and LLM API integrations to generate compliant Terraform modules and Rego policies, lead a distributed engineering team in a follow-the-sun model, and own the technical strategy for AI enablement across cloud security tooling. The role requires 6+ years of software engineering experience with 2+ years each in cloud IaC and agentic AI development.

What you will do

• 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).

• Oversee the development of AI-enabled drift detection, continuous discovery, and gap analysis capabilities to accelerate response and remediation activities.

• Accelerate the generation and validation of compliant Terraform modules, Rego policies (for Wiz Custom Configuration Rules), and Regula test cases for CI/CD pipelines.

• 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;

The benefits of joining us

• Professional growth

Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps

• Competitive compensation

We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities

• A selection of exciting projects

Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands

• Flextime

Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office - whatever makes you the happiest and most productive.

Meet Our Recruitment Process

Asynchronous stage - An automated, self-paced track that helps us move faster and give you quicker feedback:

• Short online form to confirm basic requirements

• 30-60 minute skills assessment

• 5-minute introduction video

Synchronous stage - Live interviews

• Technical interview with our engineering team (scheduled at your convenience)

• Final interview with your future teammates

If it's a match - you'll get an offer!