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).