Artificial Intelligence Consultant

Set2Recruit
Preston
1 month ago
Applications closed

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Product Owner - Artificial Intelligence

(Client-Facing AI Automation Specialist / AI Solutions Consultant)


Preston HQ: 3 days a week in the office


All applicants must have the right to work in the UK, our client cannot provide sponsorship


Role Overview

A growing technology services organisation is seeking a commercially minded AI Solutions Engineer to pioneer bespoke AI modelling and automation initiatives. This is a true end-to-end, client-facing role. You will not simply build to specification, you will sit directly with internal stakeholders and external clients, uncover operational inefficiencies, architect intelligent AI solutions, and deliver scalable automation that drives measurable ROI.


The focus is on translating manual operational drag into intelligent, AI-powered workflows.


Key Responsibilities
Client Discovery & Consultation

  • Lead discovery sessions with clients and internal teams.
  • Map business workflows and identify bottlenecks.
  • Translate operational challenges into AI-led solutions.

Process & Efficiency Analysis

  • Identify hidden inefficiencies, manual handoffs, and data silos.
  • Quantify automation impact in terms of time savings, cost reduction, and scalability.

Bespoke AI Agent Development

  • Design, build, and deploy custom AI agents aligned to specific business use cases.
  • Develop intelligent workflows that automate complex, multi-step tasks.
  • Architect and orchestrate multi-agent systems capable of autonomous workflow execution.
  • Work across leading LLM ecosystems (e.g. OpenAI, Anthropic, Google Gemini).
  • Select the appropriate model based on performance, risk, and business requirements.

Workflow Integration

  • Integrate AI agents into wider automation and business platforms, ensuring seamless adoption into existing systems.

Candidate Profile

  • Able to translate complex AI concepts into clear, business-focused language.
  • ROI-driven with a strong operational efficiency mindset.
  • Capable of owning projects end-to-end — from first discussion to deployment.
  • Strong understanding of AI APIs, prompting logic, and agentic frameworks (e.g. LangChain, AutoGen, CrewAI or similar).
  • Highly motivated, commercially aware, and eager to build something meaningful.

This is an opportunity to shape AI capability within a growing organisation and have direct commercial impact. The role offers significant scope for progression as AI capability scales.


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