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.

Positive 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).

📌 Generative AI Architect (Maharashtra)
🏢 Evonence
📍 Maharashtra