Lead Artificial Intelligence Engineer ID87377

AgileEngine, LLC.

Ernakulam

Remote

INR 3,500,000 - 7,000,000

Full time

11 days ago
Application generator

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Benefits offered by this job

Growth without limits
Competitive compensation
Remote work 100% with flexible hours
Meaningful, modern projects
Collaborative culture
Well-being & support

Job summary

AgileEngine is seeking a Lead AI Engineer to architect generative AI workflows that accelerate cloud configuration and remediation. You will mentor engineers across a distributed, follow-the-sun team while guiding AI enablement initiatives and service architecture for cloud security tooling.

The role emphasizes designing AI-driven infrastructure, IaC automation, and policy generation using Rego, Terraform, and Regula within a remote-friendly, growth-focused environment.

Qualifications

  • 6+ years of software engineering experience developing applications and services 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
  • Proven capability to lead and mentor engineers in a distributed, asynchronous, follow-the-sun model

Responsibilities

  • Architect Generative AI workflows to automate configuration requirements, Rego policies, and Terraform modules for new cloud services.
  • Oversee AI-enabled drift detection, discovery, and remediation acceleration.
  • Accelerate generation and validation of Terraform modules, Rego policies, and Regula test cases for CI/CD pipelines.
  • Act as technical lead for the Cloud Security Tooling team's AI enablement initiatives and drive extensible architectures.

Skills

Software engineering
Technical leadership
Mentoring
Distributed teams
Cloud infrastructure

Tools

Terraform
RAG & vector DBs

Job description

Lead Artificial Intelligence Engineer ID87377

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
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
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