AI Solutions Engineer: Microsoft Tech Stack, Hybrid London

Carrington Recruitment Solutions Limited; City Of London; Híbrido; GBP 90.000 - 120.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work arrangement

Competitive salary

Descripción de la vacante

Carrington Recruitment Solutions Limited seeks an AI Solutions Engineer to design, build and deploy trusted AI in a professional services setting in City of London. Expect 3 days in-office and 2 days remote, collaborating with stakeholders and knowledge teams.

Extensive Microsoft ecosystem expertise is essential, with hands-on engineering across Copilot Studio, Azure AI Foundry and DevOps. Security, privacy and regulatory awareness are also required.

Formación

• Hands-on AI engineering experience deploying production AI solutions.
• Strong Microsoft AI tech experience: Copilot Studio, Azure AI Foundry, Azure DevOps.
• Software development capability, ideally Python; JS or other languages a plus.
• Solid understanding of LLMs, NLP, ML fundamentals and prompt engineering.
• Experience designing prompts and grounding strategies for reliable AI responses.
• Ability to integrate AI into workflows and core business systems.
• Awareness of AI security, data privacy, access controls and GDPR requirements.
• Strong stakeholder communication to translate requirements for non-technical users.
• Pragmatic, risk-aware and focused on trusted, explainable AI.

Conocimientos

Microsoft AI stack

Azure DevOps

Copilot Studio

Python

LLMs basics

Prompt engineering

NLP

Stakeholder management

Software development

Security & privacy awareness

Educación

Bachelor's degree in Computer Science or related field

Herramientas

Azure AI Foundry

Descripción del empleo

Carrington Recruitment Solutions Limited seeks an AI Solutions Engineer to design, build and deploy trusted AI in a professional services setting in City of London. Expect 3 days in-office and 2 days remote, collaborating with stakeholders and knowledge teams.

Extensive Microsoft ecosystem expertise is essential, with hands-on engineering across Copilot Studio, Azure AI Foundry and DevOps. Security, privacy and regulatory awareness are also required.