Senior AI Consultant in Reading

This role sits within our AI & Innovation team, focused on designing and delivering Generative AI solutions using large language models (LLMs) on Microsoft Azure. As a Senior Consultant, you'll lead client engagements across GenAI experimentation and production use cases – shaping architectures, building intelligent applications, and ensuring solutions are secure, scalable and deliver real business value.

Responsibilities

• Development and delivery of analytics projects.
• Understanding and shaping project scope to deliver on time and within budget and be capable of raising risks and issues to the Coeo team where required.
• Working with the Sales team and PMO to identify new opportunities for client engagement and supporting the commercial engagement.
• Delivering technical solution designs and architectures to meet client requirements.
• Effectively gather client requirements using 1 to 1 interviews and workshops to ask clarifying questions when needed.
• Recommend the optimal solution and approach to analytics architecture to deliver the client requirements.
• Ability to understand and articulate the importance of change management, user training, adoption & support.
• Set high standards for oneself on adhering to information and security practices and processes to protect personal data and maintain the integrity of Coeo and its customers.
• Strong documentation and writing skills.
• Experience delivering in an agile project delivery environment.

Additional Requirements

You must have a UK passport or be able to live and work in the UK without employer sponsorship. You'll need to have experience with some of the following and be able to learn new technologies or concepts quickly:

Technical Qualifications

• Python / PySpark – experience using Python and PySpark to connect to APIs and extract data, with strong API design skills and familiarity with LLM orchestration frameworks such as Lang Graph and Microsoft Agent Framework.
• Data Engineering – ability to work with unstructured data and build reliable data and development pipelines.
• Vector Databases & Services – hands‑on experience using vector databases and retrieval‑augmented generation (RAG) to store and retrieve data for LLMs.
• Skills Development for LLM Models – understanding of selected LLM technologies and the ability to create and maintain the supporting skills files and MCP servers required.
• Understanding of Linux – good working knowledge of Linux, with Docker experience an advantage due to toolchain dependencies.
• Prompt Design and Context Engineering – strong skills in designing prompts and engineering the right context to optimize LLM outputs.
• Evaluation and Testing – experience creating test cases and test harnesses for LLM solutions to enable repeatable outcomes where possible.
• Architectural Guidance – capability to challenge designs, guide architecture decisions, and drive innovative solutions.
• Model Management, Outcome Drift, Continual Improvement – experience managing models in production, monitoring performance, and driving ongoing improvement.

Project Delivery Experience

• At least 3-5 years of experience in working with Microsoft data technologies.
• At least 5 years of Professional Services experience in client‑facing environments.
• Strong understanding of AI, LLM and Data Engineering concepts.
• Excellent stakeholder management and communication skills, including prioritising, problem solving and relationship building.
• Ability to understand and articulate requirements to technical and non‑technical audiences.

Company Overview

Coeo is an equal‑opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and strive to ensure that everyone feels valued, respected and supported. If you require any adjustments or additional support during the interview process, please let us know and we will be happy to accommodate your needs.

Benefits

• Competitive salary and a performance‑based bonus scheme.
• Comprehensive benefits package (Income Protection, Enhanced Pension Scheme (Salary Sacrifice), Life Assurance and Private Medical Care).
• 25 days holiday (increased to 28 after 5 years).
• Hybrid working.
• Opportunities for professional development and career growth.
• The chance to make a real impact as part of a growing organization.
• Very friendly, inclusive culture, family‑feel and strong camaraderie.
• Up‑to‑date technology and collaboration tools.
• Company growth and new projects mean ongoing career progression options.
• Cutting‑edge technology projects – exciting goals ahead.