Senior Cloud Engineer - Azure AI

About the Role

We are seeking a Senior Azure AI Engineer to join a multidisciplinary AI delivery team responsible for developing and deploying AI-powered solutions on Microsoft Azure.

This role is suited to experienced engineers from a range of backgrounds, including AI Engineering, Data & Context Engineering, Application Engineering, Full Stack Development, and Cloud Engineering. We are looking for individuals with deep expertise in one or more of these areas and a willingness to collaborate across the wider Azure AI ecosystem.

Working within an agile AI squad, you will contribute to the design, development and delivery of AI-enabled services, intelligent assistants, retrieval systems and cloud-native applications.

• AI Engineering
  • Azure AI Foundry
  • Azure OpenAI
  • 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

• 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.

• Azure AI and Generative AI development.
• Data engineering and retrieval architectures.
• Full stack application development.
• Cloud-native software engineering.
• Enterprise integration and platform engineering.
• 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.
• The 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.

• 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.

Professionals choose to grow their careers at UBDS Group for its reputation as a dynamic and forward‑thinking organisation that is deeply committed to both innovation and employee development. At UBDS Group, employees are given unique opportunities to work on cutting‑edge projects across a diverse range of industries, exposing them to new challenges and learning opportunities that are pivotal for professional growth.

UBDS Group fosters a collaborative environment where creativity and innovation are encouraged, allowing employees to contribute ideas and solutions that have a tangible impact on the company and its clients. This combination of professional development, a culture of innovation, and the opportunity to make meaningful contributions makes UBDS Group an attractive place for those looking to advance their careers and be at the forefront of technological and operational excellence.

• Training – All team members are offered a number of options in terms of personal development, whether it is technical led, business acumen or…