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.

The mandatory requirements are 6+ years of software engineering experience with 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, and proven technical leadership in global organizations.

RECRUITMENT PROCESS

1. Application — Share a few details about your experience and background.

2. Coding Challenge — If applicable, complete it in the coding language you are most comfortable with.

3. Video Interview — Record a short video introduction in English.

4. Technical Interview or Hiring Manager Interview — Discuss your experience and fit for the role.

5. Offer — If it’s a match, you’ll receive an offer.

WHAT YOU’LL GAIN

• Remote work — Work from where you feel most productive.

• Local presence in India — Work in a structured and compliant environment aligned with Indian regulations.

• Competitive compensation in INR — Receive compensation in INR, plus support for learning, education, and wellness.

• Exciting projects — Work with modern technologies for global clients and fast-growing companies.

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.

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.

Lead Artificial Intelligence Engineer ID87377

About the role

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