Responsibilities:

• Remaining current in the AI domain from a technology perspective, including toolsets, platforms, and frameworks, and providing regular insights to the AI Committee and firm leadership.
• Providing technical guidance on the development and execution of AI solutions to support firm's business strategy.
• Collaborating with the AI Governance Officer and business stakeholders to identify and prioritize AI use cases.
• Developing training and communications to improve AI awareness across technology and business teams.
• Supporting AI-related project design and delivery, including assessments of third-party vendors and tooling for each use case.
• Working closely with the solution architecture and engineering teams to ensure that AI solutions are technically sound and aligned with firm architecture standards.
• Participating in troubleshooting and incident resolution processes related to AI technologies.
• Supporting AI governance during project execution, including technical controls and compliance with firm risk standards.

Qualifications:

• Prior experience in technology strategy, innovation, or architecture roles, ideally with exposure to AI, machine learning, and emerging technologies.
• Strong understanding of the evolving AI ecosystem and emerging technologies relevant to the financial services industry.
• Familiarity with AI frameworks and toolsets including cloud-based ML platforms, open-source libraries, and vendor ecosystems.
• Demonstrated experience in developing and implementing AI architectures or integrating AI products.
• Ability to evaluate third-party solutions and provide recommendations based on performance, integration complexity, and risk.
• Solid understanding of regulatory expectations and industry frameworks such as NIST AI RMF, UK/EU AI Act, and ISO standards.
• Excellent collaboration skills and the ability to work across business and technology functions.
• Strong organizational, analytical, and problem-solving skills.
• Ability to clearly communicate technical concepts to both technical and non-technical audiences.
• Passion for responsible AI innovation and a continuous learning mindset.
• Bachelor's degree in Computer Science, Engineering, or related technical discipline.
• Relevant technical certifications in architecture, cloud, or AI/ML platforms are desirable.
• Knowledge of AI governance frameworks and technology risk standards (e.g., ISO 27001, NIST) is highly desirable.