- Design and implement scalable, secure, and cost-effective data and AI architectures that align with business objectives.
- Translate complex business requirements into robust technical solutions, leveraging cloud platforms and AI/ML technologies.
- Lead the evaluation and selection of appropriate data platforms, AI tools, and MLOps strategies to drive innovation.
- Develop and maintain architectural blueprints, data models, and technical roadmaps for data and AI initiatives.
Desired Candidate Profile
Bachelor’s in computer engineering (or equivalent).
15+ years of progressive experience in data architecture and governance.
Enterprise data architecture and extend it to AI and MLOps capabilities to enable trusted analytics and scalable AI delivery.
Proven expertise in designing and deploying AI/ML models in production environments.
Hands-on experience with major cloud platforms (AWS, Azure, GCP) and their data/AI services.