AI Solutions Engineer

Rider Levett Bucknall; Winnersh; Hybrid; GBP 70,000 - 100,000; Full time

Benefits offered by this job

Hybrid Working

Tailored training programme

Mentoring schemes

Family-friendly policies

Job summary

Rider Levett Bucknall is building an enterprise AI capability to transform how our people work and how we deliver services to clients. We are seeking an AI Solutions Engineer to become the technical partner to the Head of AI, helping turn strategy into practical solutions that deliver real business value.

You will design, build and support AI agents, copilots and intelligent workflows using Microsoft Copilot Studio, OpenAI, Claude and related technologies, connecting to data and automating

Qualifications

• Design, build and deploy AI and digital solutions that solve business problems.
• Experience with AI, automation or workflow technologies.
• Can work with stakeholders to integrate systems through APIs and connectors.
• Ability to develop solutions using Python or JavaScript.
• Strong problem-solving skills and translate business requirements into technical solutions.
• Experience working directly with stakeholders and non-technical users.
• Bridge technical capability and user adoption by creating usable solutions.
• Passion for emerging AI technologies and continuous learning.
• Experience building modern web applications, portals or digital products.
• Understanding of UX principles and ability to create intuitive, user-friendly solutions.
• Knowledge of databases, data modelling and data integration concepts.
• Understanding of data quality, governance and accessibility impact AI solution.
• Exposure to modern AI platforms such as ChatGPT, Claude, Gemini or Azure AI.
• Experience building chatbots, copilots, virtual assistants or agent-based solutions.
• Awareness of MCP, RAG or multi-agent architectures.

Responsibilities

• Design, build and deploy AI-powered solutions that solve real business challenges.
• Translate business requirements into practical AI applications, agents and workflows.
• Rapidly prototype ideas and progress successful concepts into production-ready solutions.
• Work closely with stakeholders to identify automation and productivity opportunities.
• Build and maintain AI agents using Microsoft Copilot Studio and other leading AI platforms.
• Develop multi-step agent workflows that automate business processes and support decision making.
• Configure prompts, instructions, knowledge sources and integrations to maximise solution effectiveness.
• Monitor and continually improve agent performance based on user feedback and business outcomes.
• Understand APIs, MCP servers and connectors that enable secure access to business systems and data.
• Integrate AI solutions with Microsoft 365, SharePoint & CRM systems and other enterprise platforms.
• Support the development of retrieval-based AI solutions using structured and unstructured data sources.
• Work alongside IT and Information Security teams to ensure solutions are secure and scalable.
• Build simple, intuitive user experiences that drive adoption and business value.
• Develop lightweight web applications, dashboards and front-end interfaces to support AI solutions.
• Gather user feedback and continuously improve solutions based on real-world usage.
• Evaluate emerging AI technologies, tools and platforms.
• Identify opportunities to apply new capabilities across the business.
• Create proofs of concept to test and validate new ideas.
• Maintain awareness of developments across the Microsoft AI ecosystem and wider AI industry.
• Delivery of AI solutions that create measurable business value.
• AI solutions successfully deployed into production.
• Adoption and usage of AI solutions across the business.
• Reduction in manual effort through AI-enabled automation.
• Creation of reusable components that accelerate future delivery.
• Successful integration of AI solutions with key business systems and data sources.
• Positive stakeholder feedback and business outcomes.
• Ability to rapidly move use cases from concept to production.

Skills

AI design

AI & automation

API integration

Python/JavaScript

Problem solving

Stakeholder engagement

User adoption

Continuous learning

Web apps

UX design

Data modelling

AI platforms

Chatbots

MCP/RAG

Tools

Microsoft Copilot Studio

OpenAI

Claude

Azure AI

SharePoint

Job description

AI Solutions Engineer

Department: IT Operations

Employment Type: Permanent - Full Time

Location: Thames Valley

Reporting To: Alex Harris

Description

Title: AI Solutions Engineer

Discipline: IT

Location: Hybrid

Why RLB?

At RLB, we live by four simple ideas: Truth, Trust, Together, Tomorrow. Four values that live at the heart of RLB. A place where People Make Progress.

We value your skills, talents and unique perspectives – we think they are priceless.

Bring them to RLB and you’ll be empowered to shape our future and your career in new and meaningful ways.

We’ll give you opportunities to work on some of the most ambitious and exciting projects currently being designed and developed in the built environment sector.

You’ll continue to learn and advance as everyone who works for us is provided with a tailored training programme. Our mentoring and reverse mentoring schemes will enable you to share your expertise while gaining fresh insights.

What makes RLB unique is our inclusive culture. As an independent, employee-owned business, teamwork and collaboration lies at the heart of everything we do. Hybrid and flexible working arrangements and family-friendly policies are just some of the ways we invest in employee wellbeing.

Join us and you will thrive personally as well as professionally.

Role Overview

RLB is building an enterprise AI capability to transform how our people work and how we deliver services to clients.

We are looking for an AI Solutions Engineer to become the technical partner to the Head of AI, helping turn the strategy and vision into practical solutions that deliver real business value.

You will focus on the design, build and the support of AI agents, copilots and intelligent workflows using Microsoft Copilot Studio, OpenAI, Claude and related technologies.

Working across the business, you will create solutions that connect to data, automate processes and provide intuitive user experiences that colleagues want to use.

This is a hands-on technical delivery role suited to someone who enjoys building, experimenting and delivering working products rather than dealing with strategies, operating models or politics.

All responsibilities are to be delivered in accordance with RLB security policies and the guidelines and security standards set by the Head of Infrastructure and Security.

AI Solution Design & Delivery

• Design, build and deploy AI-powered solutions that solve real business challenges.
• Translate business requirements into practical AI applications, agents and workflows.
• Rapidly prototype ideas and progress successful concepts into production-ready solutions.
• Work closely with stakeholders to identify automation and productivity opportunities.

Agent Development & Automation

• Build and maintain AI agents using Microsoft Copilot Studio and other leading AI platforms.
• Develop multi-step agent workflows that automate business processes and support decision making.
• Configure prompts, instructions, knowledge sources and integrations to maximise solution effectiveness.
• Monitor and continually improve agent performance based on user feedback and business outcomes.

Data & Integration

• Understand APIs, MCP servers and connectors that enable secure access to business systems and data.
• Integrate AI solutions with Microsoft 365, SharePoint & CRM systems and other enterprise platforms.
• Support the development of retrieval-based AI solutions using structured and unstructured data sources.
• Work alongside IT and Information Security teams to ensure solutions are secure and scalable.

Product & User Experience

• Build simple, intuitive user experiences that drive adoption and business value.
• Develop lightweight web applications, dashboards and front-end interfaces to support AI solutions.
• Gather user feedback and continuously improve solutions based on real-world usage.

Innovation & Emerging Technology

• Evaluate emerging AI technologies, tools and platforms.
• Identify opportunities to apply new capabilities across the business.
• Create proofs of concept to test and validate new ideas.
• Maintain awareness of developments across the Microsoft AI ecosystem and wider Artificial intelligence industry.

Key Deliverables

• Delivery of AI solutions that create measurable business value.
• AI solutions successfully deployed into production.
• Adoption and usage of AI solutions across the business.
• Reduction in manual effort through AI-enabled automation.
• Creation of reusable components that accelerate future delivery.
• Successful integration of AI solutions with key business systems and data sources.
• Positive stakeholder feedback and business outcomes.
• Ability to rapidly move use cases from concept to production.

Skills and Experience

Essential

• Experience in designing, building and deploying AI and digital solutions that solve business problems.
• Experience with AI, automation or workflow technologies.
• Can work with stakeholders to integrate systems through APIs and connectors.
• Ability to develop solutions and problem solve deployments using modern programming languages such as Python or JavaScript.
• Strong problem-solving skills with the ability to translate business requirements into technical solutions.
• Experience working directly with stakeholders and non-technical users.
• Ability to bridge the gap between technical capability and user adoption by creating solutions that people genuinely enjoy using.
• A passion for emerging AI technologies and a desire to continually learn.

Desirable

• Experience building modern web applications, portals or digital products.
• Understanding of user experience (UX) principles and the ability to create intuitive, user-friendly solutions.
• Knowledge of databases, data modelling and data integration concepts.
• Understanding of how data quality, governance and accessibility impact AI solution.
• Exposure to modern AI platforms such as ChatGPT, Claude, Gemini or Azure AI.
• Experience building chatbots, copilots, virtual assistants or agent-based solutions.
• Awareness of emerging concepts such as Model Context Protocol (MCP), Retrieval Augmented Generation (RAG) or multi-agent architectures.

Personal Attributes

• Naturally curious
• Has a genuine interest in emerging technologies and continuously seeks to learn and develop new skills.
• Enjoys experimenting with new ideas and finding innovative ways to solve problems.
• Keeps up to date with developments in AI and technology and is excited by applying them to real-world challenges.

A Builder at Heart

• Enjoys creating, improving and delivering practical solutions rather than talking about them.
• Takes ideas from concept through to implementation and continually refines them based on feedback.
• Is motivated by seeing their work make a tangible difference to users and the business.

Problem solver

• Approaches challenges with a pragmatic and solution-focused mindset.
• Can break complex problems into manageable steps and identify practical ways forward.
• Remains resilient when facing ambiguity, setbacks or unfamiliar challenges.
• Adaptable and comfortable with fast change.
• Thrives in a fast-moving environment where priorities and technologies can evolve quickly.
• Can balance experimentation with delivery and make decisions with incomplete information.
• Embraces change and helps others navigate it positively.

RLB Employee Benefits

Our culture is built around enabling you to fulfil your potential, so you can look forward to benefits that include:

Hybrid Working - Working patterns to support your work-life balance. As well as competitive maternity and paternity packages.

Well-Rewarded - A competitive salary and generous holiday entitlement. As well as the opportunity to purchase up to five extra days.

Focus On Wellbeing - We offer a number of health and wellness options, including gym membership and cycle to work schemes.

Healthcare Packages - Private healthcare insurance and medical support, including dental insurance and eyecare vouchers.

Personal Development - A continuous learning and development programme, including established APC and in-house mentoring schemes.

Additional Benefits - We offer a wide range of benefits including a season ticket loan and professional membership subscriptions.

Exceptional Exposure - You’ll have the opportunity to work on diverse projects across different sectors and regions.

Social Responsibility - We hold team and social events as well as charity fundraising and volunteering activities.

Our Diversity, Equity & Inclusion Commitment

We believe in building a diverse and inclusive environment where each person can be themselves, feel valued for their contribution and be challenged and supported to reach their full potential. We have a responsibility to support the communities in which we live and work, and that our workforce should reflect these communities and our clients. Our talent strategy should enable us to overcome bias in the construction industry by recruiting, retaining, developing, and promoting a diverse and inclusive workforce. Find out more here: Diversity, Equity & Inclusion - RLB | Europe

If you require any reasonable adjustments to support you during any stage of the application or interview process, please contact our recruitment team at: [e-mail]