Google Generative AI Architect

Experience - 7 to 10 years

Role Description:

Evonence is looking for Generative AI practice head 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).