Lead Agentic AI Engineer

ID80141AgileEngine 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 usIf 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 roleWe 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 doArchitect 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 haves6+ 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 havesHands-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 usProfessional growth

• Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps
• Competitive compensationWe match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activitiesA 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 requirements30–60 minute skills assessment5-minute introduction video

Synchronous stage – Live interviews

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

Final interview with your future teammatesIf it’s a match — you’ll get an offer!