AI Architect

The AI Architect who is responsible for overseeing the development, implementation, and growth of an organization’s Artificial Intelligence (AI) initiatives.

Technical Skills Mandatory

The AI Lead or Architect who is responsible for overseeing the development, implementation, and growth of an organization’s Artificial Intelligence (AI) initiatives.

Key Responsibilities

• Solution Design and Architecture

o Develop end-to-end AI / ML solution architectures, including data ingestion, model development, and deployment.

o Define and document AI architecture blueprints, best practices, and standards.

o Evaluate and select appropriate AI frameworks, tools, and technologies for project requirements.

o Build and manage a team of AI specialists, data scientists, machine learning engineers, and other technical staff.

o Establish best practices, frameworks, and methodologies for AI project execution.

o Oversee the design, development, and deployment of AI solutions.

o Ensure projects are delivered on time, within budget, and meet quality standards.

o Conduct regular performance reviews and ensure the adoption of cutting-edge AI tools and techniques.

o Provide technical guidance to development teams on AI / ML implementation.

o Collaborate with cross-functional teams, including data scientists, data engineers, and software developers, to deliver AI-driven solutions.

o Ensure that AI solutions are scalable, maintainable, and aligned with business goals.

o Monitor emerging AI technologies, trends, and advancements to ensure the organization remains competitive.

o Promote the ethical use of AI and establish governance frameworks for responsible AI practices.

Technical Skills Optional