Azure AI Engineer

True North Consulting Group Ltd
Greater London, UK
13 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence User Authentication Microsoft Azure Cloud Computing Cloud Engineering Information Engineering DevOps Knowledge Management Meta-Data Management Search Technologies Software Engineering Systems Integration
+20 more
TypeScript Enterprise Application Integration Enterprise Software Applications Microsoft Power Automate Spring Cloud ReactJS Large Language Models Multi-Agent Systems Prompt Engineering Software Security Generative AI SC Clearance Event Driven Architecture AI Platforms Infrastructure Automation Frameworks Enterprise Integration Virtual Agents Cloud Integration Data Pipelines Microservices

Job description

We Are Interested In Candidates With Experience In One Or More Of The Following Areas 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, * React and TypeScript
  • 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 DevOps, Depending on your area of expertise, you will contribute to:
  • 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.

Requirements

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

You should also possess:

  • 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.
  • This 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.

Desirable Experience

  • 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.

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