Posted on: 26/03/2026
Description :
Roles and responsibility :
- Design and define the overall architecture for AI, Machine Learning, and Generative AI solutions across the organization.
- Translate business requirements into scalable AI/ML solutions and technical architectures.
- Lead the design and development of end-to-end AI systems including data pipelines, model development, and deployment.
- Select appropriate AI frameworks, tools, and cloud platforms for building robust AI solutions.
- Collaborate with data scientists, data engineers, and application developers to implement AI-driven applications.
- Establish best practices for AI development, model governance, security, and scalability.
- Guide teams on MLOps practices including model training, versioning, monitoring, and lifecycle management.
- Integrate AI solutions with existing enterprise systems, APIs, and business applications.
- Evaluate and adopt emerging technologies such as Generative AI, LLMs, and advanced analytics tools.
- Provide technical leadership, mentorship, and architectural guidance to AI and engineering teams.
- Ensure AI solutions meet performance, reliability, and compliance standards.
- Drive innovation by identifying opportunities to leverage AI for business process improvement and decision-making.
- Work closely with stakeholders to align AI strategies with business goals and digital transformation initiatives
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