Security Architect
Bengaluru
Job No. atci-5306990-s1944719
Full-time
工作描述
Project Role : Security Architect
Project Role Description : Define the cloud security framework and architecture, ensuring it meets the business requirements and performance goals. Document the implementation of the cloud security controls and transition to cloud security-managed operations.
Must have skills : Large Language Models (LLMs)
Good to have skills : Generative AI
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
We are seeking an Entry-Level Security & AI Developer with strong Python and API development skills, foundational security knowledge, and enthusiasm for modern AI technologies. This role focuses on building secure automation components, integrating LLMs into existing workflows, and contributing to AI-enabled security tooling. You will work alongside senior engineers to develop, implement, and maintain AI-driven automation modules using Python, LangChain, LangGraph, and modern agentic AI frameworks.
Roles & Responsibilities
- Contribute to the development of Python-based security automation tools and API-driven components.
- Assist in integrating LLMs, agentic AI workflows, and model deployments into existing automation pipelines.
- Implement secure APIs, perform basic threat-aware coding, and follow secure development practices.
- Work with senior engineers to build LangChain/LangGraph-based automation for analysis, orchestration, or workflow execution.
- Support the creation, testing, and optimization of AI-enabled modules for scanning, risk analysis, or remediation.
- Maintain documentation, scripts, and version-controlled codebases using Git/GitHub.
- Participate in CI/CD pipelines, ensuring proper testing, validation, and deployment of automation features.
- Stay updated with emerging AI, security, and Python ecosystem trends.
Professional & Technical Skills
Must-Have Skills:
- Strong understanding of cyber security domains: AppSec fundamentals, OWASP, secure coding, API security, basic threat modeling.
- Deep familiarity with AI workflows:
- LLMs, embeddings, vector search
- RAG architectures, prompt engineering
- LangChain, LangGraph, agentic frameworks
- Strong understanding of REST APIs: Auth flows, response parsing, error handling, API integration patterns
- Experience maintaining production-grade repositories using Git/GitHub.
Good-to-Have Skills:
- Experience with DevOps/DevSecOps pipelines: CI/CD automation, testing frameworks, artifact management.
- Exposure to cloud security and platform services (AWS/Azure/GCP).
- Hands-on experience with containerization and model deployment (Docker, FastAPI model endpoints).
- Python Programming experience (any of the below):
- API development (FastAPI/Flask)
- Automation frameworks
- Modular code design
Familiarity with:
- Vector databases (Qdrant, Pinecone, pgvector)
- Model gateways (OpenAI, Azure OpenAI, Hugging Face)
- Workflow engines and orchestration tools.
- Understanding of distributed system concepts and performance tuning.
Additional Information:
- Must have demonstrated experience building AI-augmented security or automation systems.
- Strong problem-solving skills, ability to lead technical conversations, and drive hands-on implementation.
- This position is based at our Bengaluru office.
- Must have completed 15 years of formal education.
Project Role Description : Define the cloud security framework and architecture, ensuring it meets the business requirements and performance goals. Document the implementation of the cloud security controls and transition to cloud security-managed operations.
Must have skills : Large Language Models (LLMs)
Good to have skills : Generative AI
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
We are seeking an Entry-Level Security & AI Developer with strong Python and API development skills, foundational security knowledge, and enthusiasm for modern AI technologies. This role focuses on building secure automation components, integrating LLMs into existing workflows, and contributing to AI-enabled security tooling. You will work alongside senior engineers to develop, implement, and maintain AI-driven automation modules using Python, LangChain, LangGraph, and modern agentic AI frameworks.
Roles & Responsibilities
- Contribute to the development of Python-based security automation tools and API-driven components.
- Assist in integrating LLMs, agentic AI workflows, and model deployments into existing automation pipelines.
- Implement secure APIs, perform basic threat-aware coding, and follow secure development practices.
- Work with senior engineers to build LangChain/LangGraph-based automation for analysis, orchestration, or workflow execution.
- Support the creation, testing, and optimization of AI-enabled modules for scanning, risk analysis, or remediation.
- Maintain documentation, scripts, and version-controlled codebases using Git/GitHub.
- Participate in CI/CD pipelines, ensuring proper testing, validation, and deployment of automation features.
- Stay updated with emerging AI, security, and Python ecosystem trends.
Professional & Technical Skills
Must-Have Skills:
- Strong understanding of cyber security domains: AppSec fundamentals, OWASP, secure coding, API security, basic threat modeling.
- Deep familiarity with AI workflows:
- LLMs, embeddings, vector search
- RAG architectures, prompt engineering
- LangChain, LangGraph, agentic frameworks
- Strong understanding of REST APIs: Auth flows, response parsing, error handling, API integration patterns
- Experience maintaining production-grade repositories using Git/GitHub.
Good-to-Have Skills:
- Experience with DevOps/DevSecOps pipelines: CI/CD automation, testing frameworks, artifact management.
- Exposure to cloud security and platform services (AWS/Azure/GCP).
- Hands-on experience with containerization and model deployment (Docker, FastAPI model endpoints).
- Python Programming experience (any of the below):
- API development (FastAPI/Flask)
- Automation frameworks
- Modular code design
Familiarity with:
- Vector databases (Qdrant, Pinecone, pgvector)
- Model gateways (OpenAI, Azure OpenAI, Hugging Face)
- Workflow engines and orchestration tools.
- Understanding of distributed system concepts and performance tuning.
Additional Information:
- Must have demonstrated experience building AI-augmented security or automation systems.
- Strong problem-solving skills, ability to lead technical conversations, and drive hands-on implementation.
- This position is based at our Bengaluru office.
- Must have completed 15 years of formal education.
职位要求
15 years full time education
