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 Masters degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Information Technology or a related field.