- Design and implement enterprise-wide AI architectures that align with business and technology strategies.
- Lead the integration of AI, data, and cloud technologies to enable intelligent and scalable enterprise solutions.
- Define architecture principles, governance standards, and best practices for AI-driven transformation.
- Collaborate with cross-functional teams to identify, design, and deliver AI use cases across business domains.
- Oversee the deployment, monitoring, and optimization of AI models and platforms.
- Drive innovation through continuous evaluation of emerging AI technologies and frameworks.
- Strong expertise in AI, machine learning, and enterprise architecture principles.
- Proficiency in cloud platforms (e.g., Azure, AWS, GCP) and data engineering tools.
- Deep understanding of data modeling, MLOps, and AI solution design.
- Proven experience in aligning technology architecture with strategic business outcomes.
- Bridge the gap between business needs and technical AI implementations.
- Provide thought leadership and guidance on AI adoption and enterprise integration.
- Solve complex problems with innovative and scalable AI-driven solutions.
- Collaborate effectively across technical, analytical, and business teams.
- Maintain a forward-looking mindset toward technological advancement and architecture evolution.
- A collaborative and innovative environment focused on AI and digital transformation.
- Opportunities to lead enterprise-level AI architecture initiatives.
- Exposure to cutting-edge technologies and global AI strategy development.
Want to discuss this opportunity in more detail? Feel free to reach out.
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