Cloud AI Engineer

About the role

The successful candidate will join the Advisory Services practice to lead the end-to-end design and development of advanced intelligence solutions.

Responsibilities

• Lead the end-to-end design and development of AI/ML solutions leveraging major cloud platforms like Azure, AWS, and Google Cloud.
• Define solution architectures that integrate Large Language Models (LLMs), generative AI, and traditional machine learning with enterprise platforms.
• Manage complex projects including architecture design, model development, and integration while ensuring adherence to MLOps, security, and compliance standards.
• Partner directly with clients and executives to translate business objectives into technical roadmaps and measurable outcomes.
• Mentor and coach junior engineers and consultants while collaborating with strategic alliance partners to incorporate ecosystem innovations.

Requirements

• Minimum five years of professional experience in AI/ML, data engineering, or cloud solution engineering.
• At least two years of experience in a consulting or client-facing leadership role.
• Hands-on expertise with major cloud AI platforms such as Azure AI/ML, AWS Bedrock/SageMaker, or Google Cloud Vertex AI.
• Proficiency in Python with strong experience in API development, microservices, containers, and CI/CD pipelines.
• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.

Qualifications

Access to a world-class training facility and leading market tools for professional growth.

Flexible working arrangements and a supportive team environment.

Opportunities to work on high-impact digital transformation projects for global clients.

Comprehensive career development pathways and mentorship programs.

A culture that fosters innovation, technical excellence, and continuous learning.

Apply via Hyra to be considered for this opportunity.