Azure AI Solutions Engineer
Posted 1 week ago by Jobserve
£800 Per day
Inside
Hybrid
London
Summary: The Azure AI Engineer will be responsible for designing and deploying AI solutions within a modern cloud environment, utilizing Azure and M365 tools to enhance business processes through intelligent automation. This role involves rapid prototyping and scaling of AI applications, ensuring they meet governance and compliance standards. The position is within a respected financial services organization that values technological advancements and professional growth. The engineer will collaborate with stakeholders to translate business needs into effective technical solutions.
Key Responsibilities:
- Build and maintain a secure, scalable AI platform using Microsoft Azure and M365
- Design, develop, and deploy AI-powered solutions using tools such as Copilot Studio and Azure AI services
- Rapidly prototype AI agents and low-code/no-code solutions to solve business challenges
- Integrate AI solutions with existing systems and data platforms
- Monitor, optimise, and support deployed solutions to ensure performance and reliability
- Collaborate with stakeholders to translate business needs into technical solutions
- Ensure solutions meet governance, security, and compliance standards
Key Skills:
- Strong hands-on experience with Microsoft Azure AI stack (Azure AI, OpenAI, Copilot Studio, AI Foundry)
- Proven ability to build and deploy AI solutions end-to-end
- Experience with low-code/no-code AI tools and agent-based solutions
- Solid understanding of cloud architecture, DevOps, and integration patterns
- Strong programming skills (eg Python or similar)
- Knowledge of data governance, security, and AI ethics
- Comfortable working in an agile, fast-paced environment with multiple deliverables
- Excellent communication skills with both technical and non-technical stakeholders
- Relevant Microsoft certifications highly desirable
Salary (Rate): £800 daily
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: Mid-Level
Industry: IT
We're looking for a hands-on Azure AI Engineer to design and deploy AI solutions across a modern cloud environment. You'll rapidly prototype, build, and scale AI applications using Azure and M365 tools, helping transform business processes through intelligent automation. Client Details
The employer is a respected organisation within the financial services industry, known for its commitment to technological advancements. As a medium-sized company, they provide a collaborative and forward-thinking environment to support professional growth.
Description
- Build and maintain a secure, scalable AI platform using Microsoft Azure and M365
- Design, develop, and deploy AI-powered solutions using tools such as Copilot Studio and Azure AI services
- Rapidly prototype AI agents and low-code/no-code solutions to solve business challenges
- Integrate AI solutions with existing systems and data platforms
- Monitor, optimise, and support deployed solutions to ensure performance and reliability
- Collaborate with stakeholders to translate business needs into technical solutions
- Ensure solutions meet governance, security, and compliance standards
Profile
- Strong hands-on experience with Microsoft Azure AI stack (Azure AI, OpenAI, Copilot Studio, AI Foundry)
- Proven ability to build and deploy AI solutions end-to-end
- Experience with low-code/no-code AI tools and agent-based solutions
- Solid understanding of cloud architecture, DevOps, and integration patterns
- Strong programming skills (eg Python or similar)
- Knowledge of data governance, security, and AI ethics
- Comfortable working in an agile, fast-paced environment with multiple deliverables
- Excellent communication skills with both technical and non-technical stakeholders
- Relevant Microsoft certifications highly desirable
Job Offer
- Competitive daily rate of £600-800 per day (Umbrella rate, Inside IR35).
- Opportunity to work on innovative AI projects in the financial services industry.
- 6 month initial contract
- Based in London 2-3 days per week