Azure Software Engineer (AI) (SC Cleared)

Azure Software Engineer (AI) (SC Cleared)

Posted Today by Synergize Consulting Ltd

£750 Per day
Inside
Remote
United Kingdom

Summary: The Azure Software Engineer (AI) role involves designing, developing, and deploying AI-driven applications within a secure environment, specifically focusing on Microsoft's Azure ecosystem. The position requires collaboration with a multidisciplinary Agile team to deliver innovative AI solutions and involves working with advanced technologies such as Generative AI and Large Language Models. Candidates must hold active SC Security Clearance and be UK nationals. This is a 10-month contract with a daily rate of £650-£750, classified as inside IR35.

Key Responsibilities:

  • 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 life cycle management
  • Applying Responsible AI principles and governance standards
  • Working closely with architects, data engineers, data scientists and business stakeholders to deliver innovative solutions

Key Skills:

  • Strong hands-on experience with Azure OpenAI, Azure AI Services, Azure Machine Learning, and 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
  • Strong development experience with Python, C#, and JavaScript/TypeScript
  • API design and development
  • Microservices and distributed systems
  • Strong Azure platform expertise
  • Azure DevOps and/or GitHub Actions
  • CI/CD pipeline implementation
  • Docker and Kubernetes (AKS)
  • Data pipeline development (ETL/ELT)
  • Azure Data Lake, Synapse and Cosmos DB
  • MLOps and model life cycle management
  • 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
  • A focus on quality, security and operational excellence

Salary (Rate): £750 daily

City: undetermined

Country: United Kingdom

Working Arrangements: remote

IR35 Status: inside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Azure Software Engineer (AI) SC Cleared | AI & Azure | £650-£750 per day | Inside IR35 | 10-Month Contract

Join a Cutting-Edge AI Transformation Programme

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.

The Role

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 life cycle, from experimentation and proof of concept through to deployment, optimisation and ongoing support.

Key responsibilities will include:

  • 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 life cycle 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 life cycle management

  • Model monitoring, performance optimisation and drift detection

What We're Looking For

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

Contract Details

  • 10-Month Initial Contract

  • Inside IR35

  • £650-£750 per day

  • Remote Working

  • Occasional travel to Reading or Warton

  • Immediate Interviews Available

If you're an experienced Azure AI Engineer looking to work on innovative, mission-critical programmes using the latest Azure and Generative AI technologies, apply today.