We are looking for an experienced AI Architect with a strong background in influencing AI strategy and architecting AI platforms for banking clients. The ideal candidate will be responsible for designing and implementing AI-driven solutions that align with business objectives. This role requires deep expertise in AI frameworks, model deployment strategies, and
MLOps methodologies. The AI Architect will work closely with stakeholders to ensure the successful adoption of AI technologies within the organization.
Key Responsibilities:
Determine which classes of AI can be used for client use cases provided by the business
(e.g.,
supervisory/reinforced learning, LLM models).
Define architecture for ML Ops platforms, including model management and model deployment.
Work on either custom or GCP ML orchestration platforms for building, managing, and deploying AI models.
Requirements
Robust experience in AI strategy and AI platform architecture for banking clients.
Expertise in determining appropriate AI models for business use cases.
Proven ability to define and manage ML Ops platforms, including model deployment.
Hands-on experience with custom or GCP ML orchestration platforms.