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
Senior AI Engineering Consultant in Manchester employer: Lynx Recruitment Ltd Careers
Join a forward-thinking consultancy that prioritises innovation and security in the rapidly evolving financial services sector. With a strong focus on employee growth, you will have access to cutting-edge projects and the opportunity to enhance your skills in AI governance and security. Enjoy a collaborative work culture that values your contributions while offering competitive pay and flexible contract arrangements.
Contact Details:
Lynx Recruitment Ltd Careers Recruitment Team
