AI Azure Engineer

Responsibilities

• Collaborate with the internal team to optimize and scale existing AI services.
• Guide the development of new AI capabilities, particularly in AI search.
• Deploy and manage AI solutions on Azure effectively.
• Ensure integration between cloud-based AI services and on-premises data sources.
• Maintain production-grade services with a focus on operational excellence, including logging and monitoring.

Requirements

• Extensive experience in AI engineering, particularly in building and deploying AI solutions.
• Strong knowledge of Azure infrastructure, especially networking and API management.
• Proven experience in integrating cloud services with on-premise systems.
• Background in banking or financial services.
• Familiarity with Azure AI capabilities and services.
• Knowledge of operational best practices for cloud services.
• At emagine
• We are committed to building an international and diverse team by embracing the differences in our backgrounds.
• If you are excited by the challenge and want to learn more, get in touch with us today. Our internal recruitment team is always keen to hear from dynamic individuals looking to further their careers and reach their full potential.

Additional Information

AI Azure Engineer London - 5 days onsite £525 p/d Inside IR35 emagine is a high-end professional services consultancy and solutions firm. Specialising in delivering business and technology services to the financial services sector, we power progress, solve challenges, and achieve real results through tailored, high-end consulting solutions. We have built a culture of openness and integrity through genuine relationships and strong partnerships. This enables us to remain uncompromising in our commitment to delivering exceptional service for our clients. Equally, we foster a positive and inclusive environment for our consultants and colleagues, grounded in our core values: Confident, Dedicated, Responsible, Genuine. We are seeking the expertise of a Cloud Engineer to support scale and enhance AI-driven services in Azure, particularly for core AI offerings. The individual will leverage expertise from mature environments, especially in banking or financial services, to help navigate and refine the development of existing AI solutions.

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