Senior AI Engineering Consultant

We're supporting a leading technology consultancy that is expanding its AI practice and is looking for a Senior AI Engineering Consultant to help deliver innovative AI-powered solutions for enterprise clients.

This is an opportunity to work at the forefront of Generative AI, partnering with organisations to design, build and deploy cutting-edge solutions across Azure, AWS and GCP.

We're looking for someone with a genuine passion for AI who combines strong consulting experience with a software engineering background and the ability to turn technical innovation into real business value. The Role You'll work closely with clients to define AI strategies, build proof-of-concepts, develop scalable solutions and lead technical delivery across a range of AI and cloud projects.

Responsibilities will include

Designing and delivering Generative AI and Machine Learning solutions

Building applications using LLMs, RAG frameworks and AI orchestration tools

Working directly with clients to understand business challenges and define AI-driven solutions

Leading architecture and engineering decisions across Azure, AWS and GCP

Developing scalable, production-ready software solutions

Implementing engineering best practices including CI/CD, testing and deployment automation

Evaluating emerging AI technologies and identifying opportunities for innovation

Mentoring engineers and providing technical leadership across project teams

Supporting workshops, discovery sessions and technical pre-sales activities

What We're Looking ForEssential Requirements

Proven experience working within an IT Consultancy, Technology Consultancy or Professional Services environment

Strong hands-on experience with Generative AI and modern AI technologies

Commercial experience building AI-powered applications and deploying them into production

Software Engineering or Product Engineering background

Strong Python development skills

Experience working with LLMs, RAG architectures and modern AI frameworks

Multi-cloud experience across Azure, AWS and GCP

Strong understanding of cloud-native architectures and scalable application design

Experience with CI/CD, Infrastructure as Code and automated deployment pipelines

Excellent communication and stakeholder management skills

Ability to engage with both technical and non-technical audiences