Key Responsibilities Strategic Leadership : Develop and communicate the generative AI vision and strategy, ensuring alignment with organizational objectives. Architecture Design : Architect scalable systems for deploying generative AI applications, integrating them with existing technology stacks. Technical Guidance : Provide leadership and mentorship to teams, promoting best practices in generative AI development and deployment. Project Management : Oversee the end-to-end process of generative AI solutions from ideation through delivery and operationalization. Collaboration : Work closely with stakeholders to identify opportunities for AI-driven solutions and streamline change management processes. Performance Monitoring : Monitor, optimize, and troubleshoot production systems to maintain high performance of AI applications. CI/CD Pipeline Management :
Design and manage continuous integration and continuous deployment pipelines for generative AI solutions. API Development : Define and deliver quality API access for various generative AI services. Team Development : Recruit, mentor, and coach team members to foster a culture of continuous learning.
Required Qualifications Educational Background : Bachelor’s degree with 8+ years of experience; or Master’s degree with 7+ years of experience; or Ph D with 3+ years of experience in relevant fields (e.g., Computer Science, Engineering). Experience : Proven experience as an Enterprise Architect or Solution Architect focusing on AI/ML and generative AI technologies.
Technical Skills : Proficiency in programming languages such as Python , R , or Java . Hands-on experience with machine learning frameworks like Tensor Flow , Py Torch , and libraries for deep learning . Solid understanding of generative AI techniques, including deep generative models and reinforcement learning. Expertise in