AI Consultant at Reed Technology, South East, £Contract Rate

Senior AI Solutions Engineer

• Rate: £800 per day, outside IR35
• Location: Hertfordshire, 1 day per week on site
• Job Type: 12-month contract
• Overview: We are seeking an AI Engineer to lead the design and delivery of enterprise AI solutions within a highly regulated environment. This AI Engineer position will focus on building AI agents, assistants, dashboards and automations that improve decision-making, streamline workflows and create reusable technical standards across the wider function.

An excellent opportunity for an AI Engineer with strong Python, LLM and cloud engineering experience who enjoys turning complex business needs into secure, production-ready solutions.

Day-to-day of the role

• Design and build AI agents, assistants, automations and natural-language interfaces for business users.
• Develop AI-enabled dashboards and data tools that surface trends, alerts, insights and recommended actions.
• Build and optimise LLM-based solutions including tool calling, prompt engineering, retrieval-augmented generation and multi-agent workflows.
• Create reusable AI components, shared libraries and technical patterns that can be adopted across multiple teams.
• Work closely with stakeholders to translate business requirements into clear technical scope and scalable solution designs.
• Partner with architecture, security, governance and compliance teams to ensure solutions are secure, traceable and fit for regulated use.
• Define testing approaches, evaluation metrics and production monitoring for quality, cost, usage and performance.
• Set engineering standards across coding, peer review, version control, CI/CD and operational documentation while mentoring others in adoption best practice.

Required Skills & Qualifications

• Bachelor's degree or above in Computer Science, Engineering, Data Science or a related field.
• At least 4 years' experience in software, data or machine learning engineering, including 2+ years building production LLM applications or AI agents.
• Strong Python experience, including production-grade development with tools such as FastAPI, Pydantic, asyncio, pandas and pytest.
• Solid experience with R and deployment of Shiny applications.
• Hands-on knowledge of LLM APIs, agent frameworks, vector search, RAG, connector patterns and LLM evaluation methods.
• Advanced SQL skills, working knowledge of Snowflake and experience integrating enterprise systems through REST APIs.
• Strong engineering fundamentals including Git, Docker, CI/CD, AWS and observability tooling such as logging, tracing and metrics.
• Understanding of GxP, computer system validation, auditability, reproducibility and data privacy within regulated environments.
• Able to explain technical decisions clearly to non-technical stakeholders and lead technical delivery across complex AI initiatives.

How to apply

To apply for this AI Engineer opportunity, please submit your CV