Azure AI Cloud Engineer
- london, england, United Kingdom
- Permanent·On-site
- Full time
- £70 - £100 Per Hour
Job Description
Salary : £70,000 - £100,000 (DOE) Location : Hybrid, London or Manchester
You must hold active and transferable SC Clearance to be considered for this position. Unfortunately, candidates without active SC Clearance cannot be considered.
About the Role
We are partnering with a growing technology consultancy delivering innovative AI and cloud transformation programmes across a range of secure and enterprise environments.
We're seeking a Senior Cloud Engineer to join a multidisciplinary AI delivery team responsible for designing, building and deploying AI-powered solutions within Microsoft Azure. This position would suit experienced engineers from backgrounds including AI Engineering, Cloud Engineering, Software Development, Data Engineering or Platform Engineering who enjoy working across modern AI and cloud technologies.
Working within Agile delivery teams, you'll help create intelligent applications, automation solutions, knowledge retrieval platforms and cloud-native services that deliver meaningful business outcomes.
Key Responsibilities
- Design and develop AI-powered applications and cloud-native solutions.
- Build intelligent assistants, automation services and AI-enabled workflows.
- Develop knowledge management, search and retrieval capabilities.
- Create secure, scalable and well-architected applications in Azure.
- Integrate cloud solutions with enterprise systems, APIs and data sources.
- Implement governance, security and operational best practices.
- Support testing, deployment and optimisation of AI solutions.
- Collaborate with architects, analysts, engineers and stakeholders to deliver successful outcomes.
- Contribute to technical design, solution architecture and continuous improvement initiatives.
Required Skills & Experience
- Strong experience in at least one of the following areas:
- AI and Generative AI engineering
- Data engineering and retrieval platforms
- Cloud-native software engineering
- Enterprise integration and platform engineering
- Experience working with Microsoft Azure cloud technologies.
- Strong technical design and problem-solving capabilities.
- Experience working within Agile delivery environments.
- Excellent communication and stakeholder management skills.
- Experience delivering secure, scalable and maintainable solutions.
- Collaborative approach to multidisciplinary delivery teams.
- Active and transferable UK SC Clearance.
- Experience with Generative AI and Large Language Models (LLMs).
- Knowledge of Retrieval-Augmented Generation (RAG) architectures.
- Experience with vector search, semantic retrieval or knowledge platforms.
- Experience developing AI assistants, agents or intelligent workflows.
- React and TypeScript development experience.
- Experience building and consuming APIs.
- Knowledge of CI/CD pipelines, DevOps and infrastructure automation.
- Experience working within secure, regulated or government environments.
Personal Attributes
- Strong analytical and problem-solving abilities.
- Passion for emerging technologies, AI and cloud innovation.
- Excellent communication and stakeholder engagement skills.
- Self-motivated with a proactive approach to learning.
- Ability to work effectively within cross-functional teams.
- Strong attention to detail and commitment to quality.
- Collaborative mindset with willingness to share knowledge and mentor others.
- Comfortable working in fast-paced Agile environments.