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# Azure Software Engineer / Azure DevOps (AI)

- **Company:** Synergize Consulting Ltd
- **Location:** Newcastle upon Tyne, UK (Remote available)
- **Salary:** £169,000.0 - £195,000.0
- **Contract:** Temporary contract
- **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Application Performance Management, Microsoft Azure, C Sharp (Programming Language), Continuous Integration, Extract Transform Load (ETL), DevOps, Distributed Systems, Github, Monitoring of Systems, Python (Programming Language), Machine Learning, Performance Tuning, Azure Machine Learning, Azure Data Lake, Search Technologies, Software Engineering, Systems Integration, TypeScript, Enterprise Software Applications, Data Ingestion, Spring Cloud, Large Language Models, Prompt Engineering, Generative AI, SC Clearance, Cosmos DB, Machine Learning Operations, Api Design, Azure Synapse Analytics, Data Pipelines, Serverless Computing, Docker, Microservices
- **Published:** July 2, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2850750053-2

## About the Role

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

## Description

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


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- [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure)
- [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models)

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