About the Role

We are looking for a Tech Lead AI Engineer to architect GenAI workflows and automation systems that translate manual cloud security adoption into AI-accelerated pipelines within a large-scale financial services environment. You will design RAG-based systems and LLM API integrations to automate secure cloud baseline generation, Rego policy creation, and Terraform module compliance, while leading a localized engineering pod and acting as the primary technical point of contact for cloud security tooling. The role requires 6+ years of software engineering experience with advanced Python, AWS architecture, and GenAI API integration expertise.

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 automated drift detection, continuous discovery, and gap analysis capabilities to identify unmanaged AI assets and configuration anomalies.
- Guide the engineering pod in generating and validating compliant Terraform modules, Rego policies (for Wiz Custom Configuration Rules), and Regula test cases for CI/CD pipelines.
- Act as the primary technical point of contact for the client's Cloud Security Tooling (CST) team, leading a localized pod to ensure scalable, maintainable, and highly effective automation frameworks.

Must haves





- 6+ years of software engineering experience with a strong architectural focus on cloud infrastructure.
- Advanced Python development and REST API design capabilities.
- Practical experience integrating GenAI APIs into software applications (e.g., OpenAI, Anthropic) and a working understanding of developer-level concepts such as Retrieval-Augmented Generation (RAG) and vector databases.
- Deep AWS cloud architecture experience and proven ability to design Infrastructure as Code using Terraform.
- Proven capability to lead and mentor senior engineers in an autonomous, follow-the-sun model.
- Upper-intermediate English level.

Nice to haves

- Hands-on experience with modern AI orchestration frameworks such as LangChain and LangGraph.
- Experience building APIs with FastAPI.
- Direct experience writing Rego policies (Open Policy Agent) or Regula test cases.
- Familiarity with Cloud-Native Application Protection Platforms (CNAPP), particularly Wiz.

Perks and Benefits

- Remote work & Local connection: Work where you feel most productive and connect with your team in periodic meet-ups to strengthen your network and connect with other top experts.
- Legal presence in India: We ensure full local compliance with a structured, secure work setting tailored to Indian regulations.
- Competitive Compensation in INR: Fair compensation in INR with dedicated budgets for your personal growth, education, and wellness.
- Innovative Projects: Leverage the latest tech and create cutting-edge solutions for world-recognized clients and the hottest startups.

📌 Tech Lead AI Engineer (India)
🏢 AgileEngine
📍 India