AI Infrastructure Leader

We are seeking a skilled professional to fill the role of Senior IT Specialist. The ideal candidate will have a strong background in AI engineering and experience leading teams.

The successful candidate will collaborate with cross-functional teams, including product management, design engineering, and data science, to oversee the full product lifecycle. This includes ideation, execution, and optimization.

As the Senior IT Specialist, you will manage the AI Engineering Team, driving ADB's AI infrastructure and innovation. You will define the future of AI technologies at ADB, delivering cutting-edge solutions tailored to enterprise needs.

Key Responsibilities:

• Lead the AI engineering team in designing, developing, and delivering enterprise-grade AI products and solutions.
• Identify emerging trends and opportunities for innovation within AI.
• Align engineering strategies with business and brand goals, ensuring AI solutions promote value for both our organization and its clients.
• Work with product management, data science, and design teams to ensure seamless integration between product vision and technical execution.
• Provide leadership in making critical engineering decisions, promoting a collaborative and team environment.
• Take ownership of the end-to-end product lifecycle, ensuring delivery from concept to deployment and continuous improvement.
• Lead the technical development of AI systems, with a focus on data integration, model building, and deployment through APIs.
• Embed responsible AI practices into every phase of the product lifecycle— from conceptualization to deployment and continuous improvement. Ensure that fairness, transparency, accountability, and privacy are necessary to the engineering process.

Qualifications:

• Master's degree (or equivalent) in computer science, computer engineering, or a related field. Alternatively, a university degree and at least 5 years specialized experience relevant to the position can be considered.
• At least 10 years of experience in technology roles, with at least 5 years in AI engineering—building, scaling, and managing engineering teams.
• Demonstrated expertise in designing and deploying AI systems and infrastructure at scale, including MLOps, model lifecycle management, and production-grade machine learning platforms.
• Proven track record of delivering AI-powered solutions that create value, with end-to-end oversight of development, deployment, and operationalization.
• Deep understanding of modern AI/ML frameworks, cloud-based AI architecture, data pipelines, and distributed computing.
• Strong grasp of enterprise product development, Agile engineering practices, and user-centric solution design in the context of AI applications.
• Experience working across diverse teams and delivering complex initiatives in global, multi-stakeholder environments.
• Ability to bridge technical and non-technical stakeholders—translating concepts into strategic impact and actionable solutions.
• Experience interpreting data trends and research to define AI roadmaps and guide long-term engineering strategy.
• Committed to fostering a culture of innovation, and collaboration within AI engineering teams.
• Passion for staying current with advancements in AI research, tooling, and industry best practices, and applying them to enterprise-scale systems.

Benefits:

• Housing allowance (if applicable)
• Medical and health benefits
• Paid leave (including parental)
• Life and other insurance plans

Additional Information:

This appointment is open to internal and external applicants. The position is funded by a temporary funding source, and the renewal of the appointment and its duration are subject to the availability of the funding source.