Infrastructure Architect (AI - Infra)

We are looking for an experienced AI Infrastructure Architect for a banking client. The role is to design, build, and optimise the nextgeneration platforms that power our enterprise AI and machine learning ecosystem. This is a strategic, highimpact role for a technical leader who can bridge architecture, engineering, and operations to deliver scalable, secure, and highperformance AI infrastructure.

Key Responsibilities

• Design and architect endtoend AI infrastructure, including compute, storage, networking, and orchestration layers for largescale ML workloads.

• Lead the implementation of GPUaccelerated platforms for training, inference, and model lifecycle management.

• Develop cloudnative and hybrid AI architectures leveraging Kubernetes, containerisation, and distributed systems.

• Collaborate with data science and engineering teams to ensure infrastructure meets performance, scalability, and reliability requirements.

• Establish best practices for MLOps, observability, and automation across the AI/ML pipeline.

• Ensure compliance, security, and governance for AI workloads in a regulated environment.

• Evaluate emerging AI technologies and drive adoption of modern tooling, frameworks, and accelerators.

Requirements

Strong experience in AI/ML infrastructure architecture across cloud or onprem environments.

Handson expertise with Kubernetes, Docker, and distributed compute.

Deep understanding of GPU platforms (NVIDIA, CUDA, NCCL, Triton, etc.).

Experience with MLOps tooling such as MLflow, Kubeflow, Airflow, or similar.

Knowledge of data platforms and pipelines supporting largescale AI workloads.

Strong background in infrastructure security and governance, ideally in banking or regulated industries.

Interested candidates please email your latest resume to [Confidential Information]