Senior Lead Engineer- Product Security tools, AI

## Company: Qualcomm India Private Limited ## Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. • 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Location: Hyderabad About the Role: We are seeking an enthusiastic and versatile Senior Lead Engineer to join our dynamic team. The ideal candidate will have a strong software engineering background with the ability to seamlessly navigate multiple programming languages based on project and initiative needs. This role demands a proactive individual with expertise in automation, CI/CD pipelines, and advanced skills in AI/ML to drive end-to-end initiatives and deploy scalable applications. Key Responsibilities AI Agents & Intelligent Automation * Build and operate Python-based automation frameworks for security and engineering workflows. * Develop LLM-powered agentic systems, including single-agent and multi-agent reasoning patterns. * Implement agent tool-calling and orchestration with internal systems (JIRA, static analysis tools, CI/CD, metadata services). * Design context management pipelines (MCP-style patterns, memory, retrieval) for task-specific agent reasoning. * Apply prompt engineering, guardrails, and evaluations to ensure reliable, auditable, and deterministic automation. Python Automation & Backend Engineering * Develop and maintain Python services, scripts, and APIs supporting AI-driven automation. * Implement async, event-driven, or batch workflows based on scale and latency needs. * Build lightweight integration APIs (FastAPI/Flask preferred). Systems Integration & DevOps * Package and deploy services using Docker and Kubernetes in enterprise environments. * Integrate with CI/CD pipelines for continuous testing and safe rollout. * Optimize systems for scalability, resiliency, and cost efficiency. * Implement logging, tracing, and metrics for observability and debugging. Collaboration & Engineering Excellence * Partner with security, static analysis, and platform teams to automate manual workflows. * Participate in design and architecture reviews; produce clear technical documentation. * Mentor engineers on Python automation and AI agent best practices. Required Qualifications * 6–8+ years of experience with a Bachelor’s or master’s in computer science, Engineering, or related field. * Proficiency in multiple programming languages (e.g., Python, Java, C++). * Strong expertise in automation tools and CI/CD pipelines (e.g., Jenkins, Azure DevOps, GitHub Actions). * Proven experience in AI/ML application development and deployment. * Solid understanding of cloud platforms and container orchestration (Azure, AWS, Kubernetes). * Excellent problem-solving, communication, and leadership...