At a Glance
- Tasks: Design and develop AI-powered solutions using Azure technologies.
- Company: Join a leading tech firm focused on innovative AI applications.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with exciting projects and career advancement.
- Why this job: Be at the forefront of AI technology and make a real difference.
- Qualifications: Experience in Azure AI, full stack development, or cloud-native engineering.
The predicted salary is between 63000 - 77000 £ per year.
We Are Interested In Candidates With Experience In One Or More Of The Following Areas AI Engineering
- Azure AI Foundry
- Azure Open AI
- Prompt Flow
- Prompt Engineering
- Agentic AI solutions
- AI orchestration and workflow automation
- AI evaluation and optimisation
- Responsible AI and guardrails
- Data & Context Engineering
- Azure AI Search
- Retrieval Augmented Generation (RAG)
- Vector search and semantic retrieval
- Document ingestion and processing pipelines
- Context engineering
- Metadata management
- Evaluation datasets and testing frameworks
- Application Engineering
- Full stack application development
- React and Type Script
- API integration
- Cloud-native development
- Authentication and authorisation
- CI/CD pipelines
- Secure software engineering
- Cloud & Integration Engineering
- Azure platform services
- Logic Apps
- Event-driven architectures
- Enterprise integration patterns
- Microservices
- Platform automation and Dev Ops
Key Responsibilities
Depending on your area of expertise, you will contribute to
- Designing and developing AI-powered business solutions.
- Building AI assistants, copilots and intelligent workflows.
- Developing retrieval and knowledge management capabilities.
- Creating secure and scalable cloud-native applications.
- Integrating AI services with enterprise systems and data sources.
- Implementing security, governance and operational controls.
- Supporting deployment, testing and optimisation of AI solutions.
- Collaborating with analysts, architects and delivery teams to deliver business outcomes.
Essential Skills & Experience
- Candidates should demonstrate strong experience in at least one of the following:
- Azure AI and Generative AI development.
- Data engineering and retrieval architectures.
- Full stack application development.
- Cloud-native software engineering.
- Enterprise integration and platform engineering.
You should also possess
- Strong problem-solving and technical design skills.
- Experience working within Agile delivery environments.
- Excellent communication and stakeholder engagement skills.
- A collaborative approach to multidisciplinary delivery.
- This role requires active UK Security Check (SC) clearance.
Due to programme requirements, only candidates holding current and transferable SC clearance at the point of application can be considered.
Applicants must have the right to work in the UK and be willing to maintain clearance for the duration of the engagement.
Desirable Experience
- Azure certifications.
- Experience with Large Language Models (LLMs).
- Knowledge of agentic AI frameworks.
- Experience working within secure or regulated environments.
- Exposure to enterprise-scale AI deployments.
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Azure AI Engineer employer: True North Consulting Group Ltd
As a Senior Agile Delivery Manager with us, you'll join a dynamic and supportive work culture that prioritises continuous improvement and professional growth. Our hybrid working model across London, Milton Keynes, and East Kilbride offers flexibility while you engage in meaningful projects that enhance agile delivery capabilities. We invest in our employees through comprehensive training and development opportunities, ensuring you have the resources to excel in your role and make a significant impact within the organisation.
Contact Details:
True North Consulting Group Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Azure AI Engineer
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We think you need these skills to ace Azure AI Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
