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Generative AI Architect

Bean HR Consulting

2 - 5 years

Pune

Posted: 28/02/2026

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Job Description

Generative AI Architect

Experience: 8+ Years

Location: Pune


About the Role

We are seeking an experienced Generative AI Architect to lead end-to-end AI solution development from model research and architecture design to training, optimization, and production deployment. This role combines advanced research expertise, hands-on engineering, and technical leadership to build scalable, high-impact AI systems.


Key Responsibilities

  • Lead generative AI initiatives and drive innovation across projects.
  • Design, develop, and deploy production-grade AI systems using advanced architectures such as Transformers, GANs, and Diffusion Models.
  • Build, fine-tune, and optimize large-scale foundation and domain-specific models.
  • Architect scalable, high-performance, and secure AI solutions leveraging distributed computing frameworks.
  • Stay current with advancements from leading research forums (e.g., NeurIPS, CVPR) and translate research insights into practical implementations.
  • Implement Responsible AI principles including bias mitigation, fairness, transparency, and ethical AI practices.
  • Collaborate cross-functionally with research, engineering, and product teams to deliver impactful AI solutions.
  • Mentor junior engineers and contribute to long-term AI architecture and strategy.


Required Qualifications & Skills

  • Masters or PhD in Artificial Intelligence, Machine Learning, Computer Science, or a related field.
  • Strong expertise in generative AI architectures including Transformers, GANs, and Diffusion models.
  • Proficiency in Python and deep learning frameworks such as TensorFlow and JAX.
  • Hands-on experience building NLP, Computer Vision, or multi-modal AI systems.
  • Experience designing and deploying distributed AI systems at scale.


Good to Have

  • Experience working with Google Cloud Platform (GCP).
  • Research publications or patents in AI/ML.
  • Contributions to open-source AI communities such as Hugging Face, TensorFlow, or Diffusers.
  • Familiarity with Responsible AI tools and frameworks (Fairness, Explainable AI).

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