Azure Software Engineer / Azure DevOps (AI)

As an Azure Software Engineer (AI), you will be responsible for designing, developing and deploying intelligent applications and AI-driven solutions using Microsoft’s Azure ecosystem.

Working within a multidisciplinary Agile team, you’ll contribute across the full AI lifecycle, from experimentation and proof of concept through to deployment, optimisation and ongoing support., * Designing and developing AI-enabled applications using Azure OpenAI, Azure AI Services and Azure Machine Learning

• Building Generative AI solutions leveraging LLMs, prompt engineering, embeddings and Retrieval Augmented Generation (RAG)
• Integrating Machine Learning models into enterprise applications using Azure ML endpoints and APIs
• Developing scalable APIs and cloud-native services
• Creating robust data ingestion, transformation and processing pipelines
• Implementing MLOps practices including model deployment, monitoring, retraining and lifecycle management
• Applying Responsible AI principles and governance standards
• Working closely with architects, data engineers, data scientists and business stakeholders to deliver innovative solutions

Essential Skills & Experience

Azure & AI

• Strong hands-on experience with:
• Azure OpenAI
• Azure AI Services
• Azure Machine Learning
• Azure AI Search
• Experience designing and delivering AI-enabled cloud-native applications
• Practical experience with Generative AI technologies
• Knowledge of RAG architectures, embeddings and prompt engineering
• Experience integrating AI models into production environments

Software Engineering

• Strong development experience with:
• Python
• C#
• JavaScript/TypeScript
• API design and development
• Microservices and distributed systems
• Modern software engineering best practices

Cloud & DevOps

• Strong Azure platform expertise
• Azure DevOps and/or GitHub Actions
• CI/CD pipeline implementation
• Docker and Kubernetes (AKS)
• Azure Monitor and Application Insights
• Infrastructure and application observability

Data & MLOps

• Data pipeline development (ETL/ELT)
• Azure Data Lake, Synapse and Cosmos DB
• MLOps and model lifecycle management
• Model monitoring, performance optimisation and drift detection

You’ll be a collaborative and technically curious engineer who thrives in complex environments and enjoys solving challenging problems.

You’ll bring:

• Strong problem-solving and analytical skills
• Excellent stakeholder engagement and communication abilities
• A passion for emerging AI technologies
• Experience working within Agile and DevOps environments
• The ability to translate business requirements into scalable technical solutions
• A focus on quality, security and operational excellence

Security Requirements

Due to the nature of this programme, candidates must:

• Hold active SC Security Clearance
• Be a Sole UK National
• Hold a British Passport
• Be eligible to work within secure government and defence environments

We are seeking an experienced Azure Software Engineer (AI) to join a high-profile programme delivering next-generation AI-powered capabilities within a secure and highly regulated environment.

This is an exciting opportunity to work at the forefront of Artificial Intelligence, Generative AI and Cloud Engineering, designing and building intelligent, cloud-native solutions on Microsoft Azure. You will play a key role in transforming business requirements into scalable, secure and production-ready AI applications, working alongside architects, data scientists, engineers and stakeholders across a complex enterprise landscape.

If you’re passionate about Azure, AI, Large Language Models (LLMs) and building innovative solutions that create real-world impact, we’d love to hear from you.