Description

You will design and lead the implementation of enterprise-scale generative AI solutions.

Responsibilities

• Develop and implement the strategic roadmap for generative AI initiatives.
• Lead the design and architecture of scalable, secure, and reliable generative AI solutions.
• Design end-to-end AI pipelines covering data collection, model training, deployment, and monitoring.
• Collaborate with IT leaders to integrate generative AI into the broader enterprise architecture.
• Implement best practices for data management, model development, and continuous improvement.

Required Skills

• 10+ years of experience in IT architecture and software development.
• 5+ years of experience in AI/ML, including hands-on work with generative AI models such as GPT, GANs, and VAEs.
• Proficiency in Python, R, Java, or C++.
• Hands-on experience with TensorFlow, PyTorch, or Keras.
• Experience with cloud platforms including AWS, Azure, or Google Cloud and their respective AI services.
• Knowledge of ETL processes, data warehousing, and data governance.
• Deep understanding of generative AI algorithms, data structures, and software design principles.
• Proven track record of deploying large-scale AI solutions in enterprise environments.

Preferred Skills

• Experience with data governance frameworks.

Key Skills

Education

Any Graduate