AgileEngine
Lead Agentic AI Engineer ID80141
Hyderabad, INPresencialPermanenteTiempo completo
Publicado 26 ago 2026
Este empleo está publicado en EN
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.
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
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.
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
Resumen del puesto
Tipo de empleo
Tiempo completo
Habilidades requeridas
Agentic AI development (agentic models such as OpenAI/Anthropic)Designing Retrieval-Augmented Generation (RAG) systemsVector databases and embedding-based retrievalLLM API integration and orchestrationArchitecting generative AI workflows and service architecturesAI orchestration frameworks (e.g., LangChain, LangGraph)Infrastructure as Code (IaC) practices and cloud deployment pipelinesTerraform (authoring and validating Terraform modules)Rego / Open Policy Agent policy authoringRegula test case creation and CI/CD test validationCloud-native security services familiarity (AWS, Azure, GCP)Technical leadership and technology strategy in a global organizationLeading and mentoring distributed/asynchronous follow-the-sun engineering teamsDeveloping AI-enabled drift detection, continuous discovery, and gap analysis
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