Lead AI Engineer ID80141
On-siteBengaluru, Karnataka, India
Job Summary
Architect GenAI workflows utilizing RAG, vector databases, and LLM APIs to automate configuration baseline enforcement, drift detection, and remediation across public cloud infrastructure. Oversee development of AI-enabled gap analysis and accelerate generation of compliant Terraform modules and Rego policies for CI/CD pipelines. Act as technical lead for the Cloud Security Tooling team's AI enablement initiatives, designing service architecture and driving extensible frameworks in a distributed, follow-the-sun model. Requires 6+ years of software engineering experience with 2+ years each in cloud IaC and agentic AI development. Work 100% remotely with flexible hours supporting autonomy.
Required Qualifications
- 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
Desired Qualifications
- 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
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