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, Tensor Flow, 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 Hugging Face Transformers, Tensor Flow, or Diffusers.
- Knowledge of AI ethics frameworks and tools like Fairness Indicators, Explainable AI (XAI).