Senior AI Engineering Consultant

Lynx Recruitment Ltd; Lancashire; Hybrid; GBP 85,000 - 120,000; Full time

Benefits offered by this job

Flexible hybrid working model

Job summary

Lynx Recruitment Ltd is seeking a Senior AI Engineering Consultant to join a leading technology consultancy expanding its AI practice. You will help design, build and deploy Generative AI solutions for enterprise clients across Azure, AWS and GCP.

You will work with clients to define AI strategies, deliver proof-of-concepts, develop scalable AI-powered solutions and lead technical delivery, mentoring engineers along the way.

Qualifications

• Proven IT consultancy or professional services experience.
• Hands-on Generative AI and modern AI technologies experience.
• Experience delivering production AI-powered applications.
• Strong Python development skills.
• Experience with LLMs, RAG architectures and AI frameworks.

Responsibilities

• Design Generative AI and ML solutions for enterprise clients.
• Build applications using LLMs, RAG frameworks and AI orchestration tools.
• Define AI-driven solutions by engaging with business challenges.
• Lead architecture and engineering decisions across Azure, AWS and GCP.
• Develop scalable, production-ready software solutions.
• Implement CI/CD, testing and deployment automation.
• Evaluate emerging AI technologies and opportunities for innovation.
• Mentor engineers and provide technical leadership across project teams.
• Support workshops, discovery sessions and technical pre-sales activities.

Skills

Python

LLMs

RAG architectures

Multi-cloud

CI/CD

Cloud architecture

Stakeholder management

Communication

Education

Degree in Computer Science / Software Engineering / IT / AI / Data Science

Minimum 2:1 degree classification

Job description

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