AI Implementation Engineer - Manchester
A growing technology-led business is looking to hire an AI Implementation Engineer to help drive practical AI adoption across multiple areas of the organisation.
This is a hands-on role focused on delivering AI solutions from concept through to live deployment and business adoption. Working within IT and closely alongside operational and commercial teams, you will build and implement practical AI use cases using Azure, LLMs, machine learning, and AI agents - ensuring solutions are secure, integrated, scalable, and actively used across the business.
The organisation is already exploring a broad range of AI initiatives and is looking for someone capable of getting hands-on with implementation, working collaboratively with existing technical teams, and helping shape the future AI capability of the business.
This role would suit someone who enjoys building practical AI solutions, solving operational problems, and delivering measurable business impact in a fast-moving environment.
Role Purpose
Hands-on role responsible for delivering AI solutions from concept through to live deployment and business adoption.
Working within IT and closely with business teams, you will build and implement practical AI use cases using Azure, LLMs, ML, and AI agents — ensuring they are secure, integrated, scalable, and actively used.
Key Responsibilities
Design and build high-performing AI models tailored to specific business needs
Lead rapid prototyping initiatives through to production delivery
Work directly with the IT Infrastructure team to deploy AI models into production environments
Ensure solutions use Private Endpoints and meet enterprise-grade security standards
Work with operational and business teams to embed AI tools into day-to-day workflows
Drive adoption and ensure teams are actively using implemented AI solutions
Set up automated evaluation and monitoring frameworks for production AI environments, including hallucination detection, drift monitoring, and latency tracking (GenAIOps)
Ensure AI solutions integrate securely with existing systems, data platforms, and APIs
Collaborate with commercial stakeholders to assess project viability and business value before implementation
Measure and track project impact, including efficiency gains, time savings, automation improvements, and quality outcomes
Work closely with IT, development, and leadership teams to identify and prioritise AI opportunities across the organisation
Required Experience
Essential
Deep expertise in Python and relevant AI/ML frameworks and SDKs
Proven experience building RAG pipelines that operate effectively in production environments
Hands-on experience with model packaging, deployment, and production AI workflows
Strong understanding of enterprise infrastructure concepts including VNets, Entra ID, API Gateways, and secure integrations
Experience working with at least one major enterprise AI cloud platform (Azure preferred)
Strong SQL skills and experience working with both structured and unstructured data
Experience building AI agents, workflow automation, and tool/API integrations
Strong understanding of AI implementation, deployment, and operationalisation
Ability to work closely with technical and non-technical stakeholders
Strong problem-solving and communication skills
Desirable
Experience with LLMOps / GenAIOps tooling and monitoring frameworks
Exposure to OCR, computer vision, voice AI, or conversational AI solutions
Experience working in operational, retail, automotive, or customer-focused businesses
Familiarity with AI governance, security, and scalability best practices
Experience helping shape or build internal AI capabilities within a business
Salary & Benefits
Competitive salary depending on experience
Quarterly bonus scheme
Hybrid working arrangements — 3 days office / 2 days remote
Opportunity to shape AI capability within a growing business
Strong long-term career progression opportunities
Interested? Please click Apply Now!
AI Implementation Engineer - Manchester
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