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

Education • Degree in Computer Science, Software Engineering, Information Technology, Artificial Intelligence, Data Science, or a related technology discipline

• Minimum 2:1 degree classification (or equivalent)

Desirable • 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

What's On Offer? • 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

If you're passionate about AI, enjoy solving complex business problems and have a strong foundation in software engineering and cloud technologies, we'd love to hear from you.

This listing is from Reed. View original listing ↗