Senior AI Engineering Consultant - #2134241

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.

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

• 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

• Degree in Computer Science, Software Engineering, Information Technology, Artificial Intelligence, Data Science, or a related technology discipline
• Minimum 2:1 degree classification (or equivalent)

• Azure OpenAI, AWS Bedrock and Google Gemini experience
• MLOps, Data Engineering or Platform Engineering experience
• Experience leading technical teams
• Knowledge of Agentic AI, AI Agents and emerging AI frameworks

• Opportunity to work on high-profile AI transformation projects
• Exposure to the latest AI technologies and enterprise-scale environments
• Career progression into technical leadership and AI consulting roles
• Collaborative and innovation-focused culture
• Flexible hybrid working model