Qualifications

• 12+ years of experience in AI solution architecture and implementation.
• Deep understanding of enterprise AI solution design and AI-native platforms.
• Proficient with LLMs and the latest AI models.
• Experience with cloud providers like Azure, AWS, and Google Cloud for AI/ML workflows.
• Skilled in AI/ML architecture, including MLOps practices.
• Familiar with API integration and microservices architecture.
• Knowledge of AI governance and responsible AI practices.

Responsibilities

• Lead the architecture and design of advanced AI solutions.
• Implement enterprise-level AI initiatives across various projects.
• Develop and oversee the integration of AI with existing systems.
• Work with cloud AI/ML platforms to deploy scalable solutions.
• Ensure adherence to AI governance and ethical standards in deployments.
• Collaborate with cross-functional teams to align AI initiatives with business goals.
• Drive innovation by leveraging cutting-edge AI technologies.

Benefits

• Engagement with cutting-edge AI tools and technologies.
• Opportunities for professional development in AI and cloud services.
• Collaborative work environment with a focus on innovation.
• Potential for career advancement in a rapidly evolving field.