AI Solutions Engineer, Microsoft Tech Stack, Azure DevOps, Co-pilot

Carrington Recruitment Solutions Limited; City Of London; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

Carrington Recruitment Solutions Limited in City of London is seeking an AI Solutions Engineer to design, build and deploy production AI solutions within a professional services context. The role is hybrid, with three days in the office per week and two days working from home, focusing on trusted, scalable AI in legal services and knowledge management.

The role requires extensive Microsoft ecosystem experience, including Copilot Studio, Azure DevOps and Azure AI Foundry, and the ability to

Qualifications

• Practical experience building and deploying AI in production.
• Strong Microsoft AI technology experience, particularly Copilot Studio, Azure AI Foundry and Azure DevOps.
• Software development capability, ideally with Python; JavaScript or other languages.
• A solid understanding of LLMs, NLP, machine learning fundamentals and prompt engineering.
• Experience designing prompts, grounding strategies and knowledge integrations.
• Ability to work with agentic AI and integrate AI into existing workflows and systems.
• Experience assessing third-party AI platforms and build-versus-buy decisions.
• Knowledge of AI security, data privacy, GDPR compliance and auditability.
• Strong stakeholder skills and ability to translate business needs into technical solutions.

Responsibilities

• Design and deploy production AI solutions across the firm.
• Collaborate with senior stakeholders and knowledge professionals to deliver AI capabilities.
• Ensure security, privacy, and auditability in AI deployments.

Skills

Copilot Studio

Azure DevOps

Python

JavaScript

LLMs

NLP

Data privacy

Stakeholder comm.

Tools

Azure AI Foundry

Job description

AI Solutions Engineer, Microsoft Tech Stack, Azure DevOps, Co-pilot Studio, Professional Services, City of London

AI Solutions Engineer required to work for a Professional Services business based in the City of London. This will be 3 days in the office per week and the other 2 days from home.

The AI Solutions Engineer will play a crucial role in supporting the development and deployment of artificial intelligence (AI) solutions across the firm. This role will play a key part in designing, building, and maintaining trusted AI that enhances legal service delivery, knowledge management, and operational efficiency. It is ESSENTIAL for you to have extensive experience within the Microsoft Ecosystem.

The role offers the opportunity to influence and shape the use of AI across the firm. Also, this is a hands‑on technical role, working closely with senior stakeholders, knowledge professionals and business services teams to deliver and support secure and scalable AI solutions. Read on for more details...

Experience required:

• Practical experience building and deploying AI or machine learning solutions into production, rather than purely academic, research or proof-of-concept experience.
• Strong Microsoft AI technology experience, particularly Copilot Studio, Azure AI Foundry and Azure DevOps.
• Software development capability, ideally with Python; JavaScript or other development languages would be an advantage.
• A solid technical understanding of LLMs, NLP, machine learning fundamentals and prompt engineering.
• Experience designing prompts, grounding strategies and knowledge integrations to produce reliable AI responses.
• An ability to work with agentic AI and integrate AI solutions into existing workflows and core business systems.
• Experience assessing and integrating third-party AI platforms and tools, including building proofs of concept and contributing to build-versus-buy decisions.
• A good understanding of AI security, data privacy, access controls and auditability, together with awareness of relevant regulatory requirements including GDPR and the EU AI Act.
• Strong stakeholder skills and the ability to translate business requirements into technical solutions and explain complex AI concepts clearly to non-technical users.
• A pragmatic and risk-aware approach. Given the environment, we need someone focused on trusted, reliable and explainable AI rather than simply experimenting with the latest technology.
• Strong analytical and problem-solving skills, attention to detail and the ability to work effectively across different teams, functions and international offices.
• Legal or professional services experience would be beneficial but is not essential.
• Our client would be interested in strong AI engineers from other complex professional environments where security, confidentiality and reliability are important.
• Hands-on AI engineering experience where you have built and deployed production AI solutions, ideally within the Microsoft ecosystem.
• This is NOT purely a strategic AI / innovation person we are looking for, nor a traditional data scientist without strong software engineering and solution‑delivery experience.

This is a great opportunity and salary is dependent upon experience.