Lead Artificial Intelligence Engineer | Agentic AI | RAG | Cloud Security | Remote India
remote_wfh_india · Hyderabad · onsite · Posted 5d ago
Not disclosed6–8 yrsfulltimeSourced from
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About this role
Lead Artificial Intelligence Engineer | Agentic AI | RAG | Cloud Security | Remote India
We're looking for a Lead AI Engineer to drive AI architecture and strategy for next-generation cloud security automation.
In this role, you'll architect Generative AI and Agentic AI solutions using RAG, Vector Databases, and LLMs to automate cloud configuration, security policy generation, compliance validation, drift detection, and remediation.
You'll play a key technical leadership role in shaping AI enablement initiatives, designing scalable and extensible frameworks, and leading a globally distributed engineering team.
Location: Remote – India
Experience: 6+ years in software engineering
Focus: AI Architecture, Agentic AI, RAG & Cloud Security Automation
Employment: Full-time
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WHAT YOU'LL DO
AI Architecture & Strategy
• Architect Generative AI workflows using RAG, Vector Databases, and LLM APIs to automate cloud configuration requirements, Rego policies, and Terraform module generation.
• Design scalable AI service architectures and extensible frameworks for cloud security tooling.
• Drive AI enablement strategy and technical direction across cloud security initiatives.
Cloud Security Automation
• Lead the development of AI-powered capabilities for continuous cloud discovery, configuration drift detection, and compliance gap analysis.
• Accelerate security response and remediation through intelligent automation.
Policy & Infrastructure as Code (IaC)
• Automate the generation and validation of compliant Terraform modules, Rego policies, and Regula test cases.
• Enable integration of policy validation and compliance checks into CI/CD pipelines.
Technical Leadership
• Lead AI enablement initiatives for the Cloud Security Tooling team.
• Drive technology programs and collaborate with global stakeholders.
• Mentor engineers and lead a distributed, asynchronous, follow-the-sun engineering team.
---
MUST-HAVE REQUIREMENTS
AI Architecture & Strategy — Critical Requirement
• Proven ability to architect Generative AI solutions and drive AI strategy and technical direction.
• At least 2 years of experience developing Agentic AI solutions using LLMs, RAG, and Vector Databases.
• Hands-on experience with LLM platforms and models such as OpenAI or Anthropic.
Software Engineering & Cloud
• 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).
Technical Leadership
• Proven experience developing technology strategy and driving technical programs within a global organization.
• Demonstrated ability to lead and mentor engineers in a distributed, asynchronous, follow-the-sun environment.
---
NICE-TO-HAVE SKILLS
Hands-on experience with AI orchestration frameworks such as LangChain and LangGraph.
Experience writing Rego policies using Open Policy Agent (OPA) or developing Regula test cases.
Hands-on experience with Terraform.
Familiarity with cloud-native security services across AWS, Azure, and GCP.
Familiarity with PagerDuty, Atlassian Suite, and ServiceNow.
Experience in Cloud Security or DevSecOps.
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TECHNOLOGY STACK
Agentic AI | Generative AI | RAG | Vector Databases | LLM APIs | OpenAI | Anthropic | LangChain | LangGraph | Terraform | IaC | Rego | OPA | Regula | AWS | Azure | GCP | Cloud Security
---
---
INTERESTED DM ME TO APPLY
Please share the following details:
1⃣ Email ID
2⃣ Total Years of Experience
3⃣ Agentic AI Experience
4⃣ RAG Experience
5⃣ Vector Database Experience
6⃣ LLM / OpenAI / Anthropic Experience
7⃣ AI Architecture & Strategy Experience
8⃣ Cloud Infrastructure & IaC Experience
9⃣ Terraform / Rego / OPA / Regula Experience
AWS / Azure / GCP Experience
1⃣1⃣ Technical Leadership Experience
1⃣2⃣ Current CTC
1⃣3⃣ Expected CTC
1⃣4⃣ Notice Period
1⃣5⃣ Current Location
1⃣6⃣ Updated Resume
Please do not use LinkedIn Easy Apply. Send me a direct message with the above details to be considered.
We're looking for a Lead AI Engineer to drive AI architecture and strategy for next-generation cloud security automation.
In this role, you'll architect Generative AI and Agentic AI solutions using RAG, Vector Databases, and LLMs to automate cloud configuration, security policy generation, compliance validation, drift detection, and remediation.
You'll play a key technical leadership role in shaping AI enablement initiatives, designing scalable and extensible frameworks, and leading a globally distributed engineering team.
Location: Remote – India
Experience: 6+ years in software engineering
Focus: AI Architecture, Agentic AI, RAG & Cloud Security Automation
Employment: Full-time
---
WHAT YOU'LL DO
AI Architecture & Strategy
• Architect Generative AI workflows using RAG, Vector Databases, and LLM APIs to automate cloud configuration requirements, Rego policies, and Terraform module generation.
• Design scalable AI service architectures and extensible frameworks for cloud security tooling.
• Drive AI enablement strategy and technical direction across cloud security initiatives.
Cloud Security Automation
• Lead the development of AI-powered capabilities for continuous cloud discovery, configuration drift detection, and compliance gap analysis.
• Accelerate security response and remediation through intelligent automation.
Policy & Infrastructure as Code (IaC)
• Automate the generation and validation of compliant Terraform modules, Rego policies, and Regula test cases.
• Enable integration of policy validation and compliance checks into CI/CD pipelines.
Technical Leadership
• Lead AI enablement initiatives for the Cloud Security Tooling team.
• Drive technology programs and collaborate with global stakeholders.
• Mentor engineers and lead a distributed, asynchronous, follow-the-sun engineering team.
---
MUST-HAVE REQUIREMENTS
AI Architecture & Strategy — Critical Requirement
• Proven ability to architect Generative AI solutions and drive AI strategy and technical direction.
• At least 2 years of experience developing Agentic AI solutions using LLMs, RAG, and Vector Databases.
• Hands-on experience with LLM platforms and models such as OpenAI or Anthropic.
Software Engineering & Cloud
• 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).
Technical Leadership
• Proven experience developing technology strategy and driving technical programs within a global organization.
• Demonstrated ability to lead and mentor engineers in a distributed, asynchronous, follow-the-sun environment.
---
NICE-TO-HAVE SKILLS
Hands-on experience with AI orchestration frameworks such as LangChain and LangGraph.
Experience writing Rego policies using Open Policy Agent (OPA) or developing Regula test cases.
Hands-on experience with Terraform.
Familiarity with cloud-native security services across AWS, Azure, and GCP.
Familiarity with PagerDuty, Atlassian Suite, and ServiceNow.
Experience in Cloud Security or DevSecOps.
---
TECHNOLOGY STACK
Agentic AI | Generative AI | RAG | Vector Databases | LLM APIs | OpenAI | Anthropic | LangChain | LangGraph | Terraform | IaC | Rego | OPA | Regula | AWS | Azure | GCP | Cloud Security
---
---
INTERESTED DM ME TO APPLY
Please share the following details:
1⃣ Email ID
2⃣ Total Years of Experience
3⃣ Agentic AI Experience
4⃣ RAG Experience
5⃣ Vector Database Experience
6⃣ LLM / OpenAI / Anthropic Experience
7⃣ AI Architecture & Strategy Experience
8⃣ Cloud Infrastructure & IaC Experience
9⃣ Terraform / Rego / OPA / Regula Experience
AWS / Azure / GCP Experience
1⃣1⃣ Technical Leadership Experience
1⃣2⃣ Current CTC
1⃣3⃣ Expected CTC
1⃣4⃣ Notice Period
1⃣5⃣ Current Location
1⃣6⃣ Updated Resume
Please do not use LinkedIn Easy Apply. Send me a direct message with the above details to be considered.
Sourced from foundit
Skills
RegulaTerraformRetrieval Augmented Generationgoogle cloud platformamazon web servicesinfrastructure as codevector databasesLLM APIsOpenAI SDKREGOOpen Policy AgentCloud SecurityMicrosoft AzureAgentic AiGenerative AiAnthropic SDK