AI Implementation Engineer

• We design and build high-performing AI models tailored to specific business needs.
• We lead rapid prototyping initiatives through to production delivery.
• We work directly with our IT Infrastructure team to deploy AI models into production environments.
• We ensure solutions use Private Endpoints and meet enterprise-grade security standards.
• We work with operational and business teams to embed AI tools into day-to-day workflows.
• We drive adoption and ensure teams are actively using implemented AI solutions.
• We set up automated evaluation and monitoring frameworks for production AI environments, including hallucination detection, drift monitoring, and latency tracking.
• We ensure AI solutions integrate securely with existing systems, data platforms, and APIs.
• We collaborate with commercial stakeholders to assess project viability and business value before implementation.
• We measure and track project impact, including efficiency gains, time savings, automation improvements, and quality outcomes.
• We work closely with IT, development, and leadership teams to identify and prioritise AI opportunities across the organisation.

Technologies:

• AI
• API
• Azure
• Cloud
• Computer Vision
• Python
• SQL
• Security
• Machine Learning

• We require deep expertise in Python and relevant AI/ML frameworks and SDKs.
• We require proven experience building RAG pipelines that operate effectively in production environments.
• We require hands-on experience with model packaging, deployment, and production AI workflows.
• We require a strong understanding of enterprise infrastructure concepts including VNets, Entra ID, API Gateways, and secure integrations.
• We require experience working with at least one major enterprise AI cloud platform, with Azure preferred.
• We require strong SQL skills and experience working with both structured and unstructured data.
• We require experience building AI agents, workflow automation, and tool/API integrations.
• We require a strong understanding of AI implementation, deployment, and operationalisation.
• We require the ability to work closely with technical and non-technical stakeholders.
• We require strong problem-solving and communication skills.
• We would prefer experience with LLMOps and GenAIOps tooling and monitoring frameworks.
• We would prefer exposure to OCR, computer vision, voice AI, or conversational AI solutions.
• We would prefer experience in operational, retail, automotive, or customer-focused businesses.
• We would prefer familiarity with AI governance, security, and scalability best practices.
• We would prefer experience helping shape or build internal AI capabilities within a business.

We are a growing technology-led business based in Manchester, and we are looking for an AI Implementation Engineer to help drive practical AI adoption across multiple areas of our organisation. This is a hands-on role working within IT and closely alongside operational and commercial teams to deliver secure, integrated, scalable AI solutions from concept through to live deployment and business adoption. We offer a competitive salary depending on experience, a quarterly bonus scheme, hybrid working with 3 days in the office and 2 days remote, and the opportunity to shape our AI capability with strong long-term career progression opportunities.