Senior AI Engineer

Roles & Responsibilities

Job Description :

• Design and deliver enterprise-grade AI / ML solutions across multi-cloud environments (Azure, AWS), ensuring scalability, security, performance, and seamless integration with existing technology ecosystems.
• Define and enforce comprehensive AI governance frameworks addressing compliance (e.g., GDPR, EU AI Act), model risk, ethics, transparency, and explainability.
• Serve as a trusted advisor to business and technology leaders on AI strategy, emerging trends, and the long-term impact of AI on enterprise processes, platforms, and decision-making.
• Lead end-to-end development and operationalization of AI solutions, including data exploration, model development, training, validation, deployment, and lifecycle management.
• Own and manage production operations of AI systems—covering monitoring, incident management, CI / CD pipelines, and release / change controls.
• Assess and evaluate change requests, effort, and impact across business functions, technology platforms, and governance controls to ensure strategic alignment and risk mitigation.
• Drive continuous improvement in model performance, system reliability, and AI delivery processes through rigorous testing, automation, and adherence to engineering best practices.
• Partner with cross-functional teams (data engineering, application development, infrastructure, business units) to translate complex business challenges into actionable AI- driven solutions.
• Champion a culture of technical excellence and knowledge sharing by mentoring peers, reviewing code and architecture, and contributing to internal AI communities of practice.

Requirements :

Tell employers what skills you have

Deep learning

TensorFlow

Machine Learning

Ethics of artificial intelligence

Pipelines

regulatory standards

AWS

Artificial Intelligence

Azure Machine Learning

JavaScript

Information Technology

ICT Governance

Data Engineering

PyTorch

SQL

Python

Data Science

Power BI

Visual Studio