AI Engineer

Roles & Responsibilities

Job Title : Senior AI Engineer

Job Summary

We are hiring a skilled AI Engineer with minimum 5+ years who leads the design, development, and governance of enterprise-grade AI solutions across multi-cloud environments, including Microsoft Azure and AWS. This role demands deep expertise in Microsoft technologies, strong proficiency in AI / ML frameworks, and hands-on experience in data engineering, MLOps, and scalable architecture design. This role is ideal for someone who thrives at the intersection of AI innovation, cloud engineering, and enterprise strategy.

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.

Job Requirements :

Interested candidates may apply through the application system or send it to divyapuvvada@morganmckinley.com. Shortlisted candidates will be notified.

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Morgan McKinley Pte Ltd

Dinu Dinesh

EA License No : 11C5502

EAP Registration No : R22110286

Tell employers what skills you have

TensorFlow

Microsoft Technologies

Machine Learning

Microsoft Azure

Azure

Pipelines

Microservices

Data Engineering

PyTorch

SQL Server

Python

Architecture Design

Power BI

Incident Management

C++

Visual Studio