Senior AI Engineering Consultant

Lynx Recruitment Limited; Manchester; On-site; GBP 72,000 - 88,000; Full time

Job summary

Lynx Recruitment Limited is seeking a Senior AI Engineering Consultant in Manchester to design and deliver Generative AI and ML solutions. Work with clients to identify challenges and architect scalable AI-powered systems across Azure, AWS and GCP.

You will lead technical delivery, mentor engineers, and drive adoption of AI innovations in production environments, leveraging a strong software engineering background and Python expertise.

Qualifications

• Proven experience in IT/Technology/Professional Services environments.
• Hands-on experience with Generative AI and modern AI technologies.
• Experience building AI-powered applications and deploying to production.
• Background in Software Engineering or Product Engineering.
• Strong Python development skills.
• Experience with LLMs, RAG architectures and modern AI frameworks.
• Multi-cloud experience across Azure, AWS and GCP.
• Understanding cloud-native architectures and scalable design.
• Experience CI/CD, IaC and deployment automation.
• Excellent communication and stakeholder management.
• Ability to engage with technical and non-technical audiences.
• Degree in Computer Science, Software Engineering, IT, AI, Data Science or related.
• Minimum 2:1 degree classification (or equivalent).
• Desirable: Azure OpenAI, AWS Bedrock and Google Gemini experience.
• Desirable: MLOps, Data Engineering or Platform Engineering experience.
• Desirable: Experience leading technical teams.
• Desirable: Knowledge of Agentic AI, AI Agents and emerging AI frameworks.

Responsibilities

• 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.

Skills

Generative AI

AI frameworks

Python

Cloud architecture

CI/CD

Stakeholder management

Communication

Software Engineering

Product Engineering

Technical leadership

Education

BSc in Computer Science or related

Tools

Azure

AWS

GCP

LLMs

RAG frameworks

Job description

Salary: £80,000 - 80,000 per year

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
• 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
• Desirable: MLOps, Data Engineering or Platform Engineering experience
• Desirable: Experience leading technical teams
• Desirable: Knowledge of Agentic AI, AI Agents and emerging AI frameworks

Responsibilities

• 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

Technologies

• Agentic AI
• AI
• AI Agents
• AWS
• Azure
• CI/CD
• Cloud
• GCP
• Machine Learning
• MLOps
• Python
• RAG

More

We are 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 are 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 will 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. We offer high‑profile AI transformation projects, exposure to the latest AI technologies and enterprise‑scale environments, career progression into technical leadership and AI consulting roles, a collaborative and innovation‑focused culture, and a flexible hybrid working model.

last updated 38 week of 2026