AI / ML Architect

As an AI Infrastructure Architect, a typical day involves designing and constructing tailored Artificial Intelligence infrastructure and hardware solutions that meet specific organisational needs. This role requires continuous evaluation and enhancement of system performance, power efficiency, cost-effectiveness, and scalability across the computational stack. The professional actively advises on emerging AI infrastructure technologies, assesses vendor offerings, and ensures seamless integration of full-stack solutions to support advanced AI applications. Collaboration with various teams to align infrastructure capabilities with project goals is a key aspect of daily activities.

Responsibilities:

• Expected to be an SME, collaborate and manage the team to perform.
• Responsible for team decisions.
• Engage with multiple teams and contribute to key decisions.
• Provide solutions to problems for their immediate team and across multiple teams.
• Lead the evaluation and selection of AI infrastructure technologies and vendors to ensure optimal alignment with organisational objectives.
• Oversee the scalability and cost management of AI hardware solutions to support evolving computational demands.
• Mentor junior team members by providing guidance and support to foster professional growth and technical expertise.

Requirements:

• Proficiency in AI Agents and Workflow Integration.
• Experience in designing and optimising AI infrastructure for enhanced performance and power efficiency.
• Strong knowledge of hardware architectures and computational stack integration for AI workloads.
• Ability to evaluate and select appropriate AI infrastructure technologies and vendors.
• Skilled in managing scalability and cost considerations within AI hardware solutions.

Additional Information:

• The candidate should have a minimum of 7.5 years of experience in AI Agents & Workflow Integration.
• A 15-year full-time education is required.
• 15 years of full-time education.