Generative AI Architect

We are looking for an AI / Generative AI Expert with 8–10 years of overall experience to research, develop and implement advanced AI solutions. The role will focus on leveraging existing AI/Generative AI assets, developing innovative solutions and driving the adoption of Generative AI, GPT/LLMs and Agentic AI across business applications.
Key Responsibilities
Reuse and enhance existing AI/Generative AI libraries, platforms, models and assets.
Research and develop novel AI and Generative AI algorithms and techniques.
Design, develop and optimize end-to-end AI/ML solutions for various applications.
Work across Generative AI, NLP, Computer Vision and Machine Learning use cases.
Develop and implement solutions using GPT models, LLMs, RAG and Agentic AI.
Conduct experiments, analyze results and improve model performance, accuracy, scalability and efficiency.
Collaborate with cross-functional teams to integrate AI solutions into existing products and services.
Stay updated with the latest advancements in AI, Generative AI, LLMs and industry trends.
Contribute to the development and adoption of AI/Generative AI best practices, standards and frameworks.
Drive AI innovation and Agentic AI adoption within the organization.
Ensure appropriate application of Responsible AI and AI ethics principles.
Required Skills
8–10 years of overall experience in AI / Machine Learning / Data Science / Artificial Intelligence.
Strong hands-on expertise in Generative AI, GPT Models / LLMs, Data Science and Python.
Strong understanding of Machine Learning, Deep Learning, Neural Networks and Reinforcement Learning.
Hands-on experience with RAG, GANs, VAEs and other Generative AI models.
Strong knowledge of NLP and Computer Vision techniques.
Good understanding of statistics, probability, data mining and data cleaning.
Strong experience with SQL and Python ML packages such as Scikit-learn, XGBoost and Keras.
Experience in building data pipelines and working with at least one cloud platform.
Good knowledge of Git, GitLab and CI/CD.
Familiarity with AI ethics and Responsible AI practices.
Strong analytical, problem-solving, research and collaboration skills.
Qualification
B.E./B.Tech or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Information Technology or a related field.

Work arrangement
No