Job Description:

- 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.