Generative AI Architect

Experience Level: 8+ Years Location: Pune Role Description Evonence is looking for Generative AI Architect to drive end-to-end AI solution development from architecture and model training to responsible deployment and mentorship. The role balances research, engineering, and leadership, making it ideal for someone with a strong academic background and hands-on experience in production-level AI systems. Key Responsibilities: Lead AI initiatives and drive innovation in generative models. Evaluate and adopt cutting-edge AI trends (e.g., from academic papers, NeurIPS, CVPR). Be a go-to authority for generative AI direction. Design production-grade AI systems using frameworks like transformers, GANs, or diffusion models. Focus on performance, scalability, and security, suggesting deployment on distributed platforms. Build and fine-tune large-scale models. Embed Responsible AI practices: mitigate bias, improve transparency. Act as a bridge between research and product teams. Mentor junior engineers, encourage cross-team collaboration, and shape internal AI strategy. Required Skills: Advanced degree (PhD or Master's) in AI/ML or related fields. Expertise in transformer architectures, GANs, diffusion models. Experience with Python, TensorFlow, JAX, and distributed computing. Solid grasp of natural language processing, computer vision, or multi-modal AI. Good to Have: Experience on Google Cloud Platform (GCP). Publications or patents in top-tier AI venues. Contributions to open-source tools like HuggingFace Transformers, TensorFlow, or Diffusers. Knowledge of AI ethics frameworks and tools like Fairness Indicators, Explainable AI (XAI). .