Gen AI Architect

Experience:

• 10+ years of experience in IT architecture and software development.
• 5+ years of experience in AI/Client, including hands-on experience with generative AI models (e.g., GPT, GANs, VAEs).
• Proven experience in architecting and deploying large-scale AI solutions in an enterprise environment.

Technical Skills:
 

• Deep understanding of generative AI algorithms, data structures, and software design principles.
• Proficiency in programming languages such as Python, R, Java, or C++.
• Experience with AI/Client frameworks and tools (e.g., TensorFlow, PyTorch, Keras).
• Proficiency in cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services.
• Knowledge of data warehousing, ETL processes, and data governance.\

Key Responsibilities:
 

• Generative AI Strategy Development:
  • Develop and implement the strategic roadmap for generative AI initiatives in alignment with business goals.
  • Stay abreast of the latest advancements in generative AI and assess their potential impact on the organization.
• Architectural Leadership:
  • Lead the design and architecture of scalable, reliable, and secure generative AI solutions.
  • Ensure generative AI architectures align with enterprise-wide architecture standards and principles.
  • Collaborate with other architects and IT leaders to integrate generative AI solutions into the broader enterprise architecture.
• Solution Design and Implementation:
  • Design end-to-end generative AI pipelines, from data collection and model training to deployment and monitoring.
  • Implement best practices for data management, model development, deployment, and continuous improvement.
  • Ensure solutions are robust, maintainable, and meet high standards of performance and security.