Commvault is a global leader in data protection, backup, and information management solutions, serving enterprises across more than 150 countries. Founded in 1988, the company has built a reputation for innovative, reliable, and secure software that helps organizations safeguard their critical data while enabling seamless access and analytics. With a strong focus on research and development, Commvault continuously expands its portfolio into emerging technologies such as artificial intelligence, machine learning, and generative AI, positioning itself at the forefront of the data‑centric AI revolution. The role of Software Engineer – AI with Gen AI is designed for fresh talent eager to dive deep into cutting‑edge AI research and product development. As a member of the AI Solutions team, you will be responsible for designing, building, and deploying generative AI models that power next‑generation customer experience platforms, data analytics pipelines, and intelligent automation tools. You will work closely with product managers, designers, and customer‑success engineers to translate business problems into scalable AI solutions that deliver measurable impact. Key Responsibilities: 1. Design, develop, and deploy end‑to‑end AI/ML models for generative AI, NLP, and computer‑vision use cases. 2. Collect, clean, and preprocess large, heterogeneous datasets to ensure model robustness. 3. Optimize models for accuracy, latency, and cost efficiency on cloud platforms. 4. Build AI‑powered Proofs of Concept (POCs) and prototype features for rapid validation. 5. Integrate AI services into Commvault’s customer‑experience platforms, including chatbots and virtual assistants. 6. Collaborate with cross‑functional teams to define product requirements and translate them into technical specifications. 7. Stay abreast of the latest research in generative AI, reinforcement learning, and ethical AI, and incorporate best practices into the development workflow. 8. Conduct code reviews, write comprehensive documentation, and mentor peers on AI best practices. 9. Ensure compliance with data‑privacy regulations and implement security safeguards throughout the AI pipeline. 10. Participate in internal AI hackathons and knowledge‑sharing sessions to foster a culture of innovation. Tech Stack: Python, TensorFlow, PyTorch, Scikit‑learn, NumPy, Pandas, AWS / GCP / Azure, Docker, Kubernetes, RESTful APIs, Git, CI/CD pipelines, NLP libraries (spaCy, HuggingFace), Computer Vision frameworks (OpenCV, Detectron2), and AI‑driven chatbot platforms. Growth Path: Starting as an AI Software Engineer, you can progress to Senior Engineer, AI Lead, and eventually AI Architect or Product Manager for AI solutions. Commvault invests heavily in continuous learning, offering certifications, internal workshops, and exposure to global AI research projects. Why Join Commvault? You will work on real‑world, high‑impact AI problems that power enterprise‑grade products used by Fortune‑500 customers. The company’s inclusive culture, strong mentorship, and emphasis on ethical AI provide a fertile ground for fresh engineers to grow technically and professionally while contributing to industry‑leading innovations.