Job Description

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

Good to have skills :

Generative AI

Minimum

7.5

year(s) of experience is required

Educational Qualification :

15 years full time education



Summary: We are seeking a Senior Security & AI Developer with strong expertise in Python, API engineering, AI-driven automation, and applied security principles. In this role, you will lead the design, development, and optimization of AI-enabled security tooling, integrate LLMs and agentic workflows into complex automation pipelines, and guide junior engineers in secure development practices and architectural decisions. You will be responsible for delivering robust automation modules using Python, LangChain, LangGraph, vector databases, and modern AI frameworks--while contributing to scalable, secure, and high-performance security automation systems. Roles & Responsibilities - Lead the design and development of Python-based security automation tools, internal SDKs, and scalable API-driven components. - Architect and integrate LLM-enhanced workflows, agentic AI systems, and RAG-based pipelines into existing security automation frameworks. - Implement and review secure APIs, enforce secure coding best practices, and ensure threat-aware design across modules. - Build and optimize LangChain/LangGraph pipelines for workflow orchestration, data analysis, and intelligent automation. - Develop advanced AI-powered modules for scanning, correlation, risk scoring, and automated remediation guidance. - Perform code reviews, mentor junior developers, and contribute to technical design discussions and architecture decisions. - Drive CI/CD maturity by automating testing, validation, model evaluation, and secure deployment of AI components. - Ensure high-quality documentation, reusable libraries, and well-maintained codebases using Git/GitHub. - Stay current with emerging trends in AI, agentic frameworks, Python ecosystems, and security engineering practices. - Collaborate cross-functionally with security architects, DevOps engineers, and platform teams to deliver enterprise-grade AI tooling. Professional & Technical Skills Must-Have Skills: - Strong understanding of security domains: AppSec fundamentals, OWASP, secure coding, API security, basic threat modeling. - Advanced Python engineering experience: - API development (FastAPI/Flask) - Automation frameworks - Modular code design - Async programming (preferred) - 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). 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: - The candidate should have minimum 7.5 years of experience in Python development, automation engineering, or InfoSec tooling. - 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.




15 years full time education