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 For Essential 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.

Apply now or contact Paul Clarke at Lynx Recruitment for a confidential discussion.