AI Agent Developer

Our client, a leading organisation in the construction and infrastructure sector, is seeking a permanent AI Agent Developer to support the delivery and adoption of Microsoft Copilot and AI agent solutions. This role is suited to an AI enablement specialist with practical Copilot delivery experience who can combine technical implementation with stakeholder engagement, governance and continuous improvement.

This opportunity would suit an early-to-mid career AI professional with hands-on delivery experience, initiative and curiosity. The successful applicant will be comfortable working in a fast-changing technology environment and motivated to help shape and mature enterprise AI capability within the construction and infrastructure sector. Apply now to take the next step in developing practical AI solutions that make a lasting difference across the business.

Key Responsibilities:

Design, configure, deploy and maintain AI agents using Microsoft Copilot Studio and related Microsoft technologies
Work with business stakeholders to understand requirements and translate them into practical AI solutions
Develop and maintain high-quality solution documentation, design standards and reusable templates
Support the creation of AI agent development lifecycle processes covering design, testing, deployment and support
Help establish governance, quality standards and controls for AI agent development
Monitor agent performance, usage and operational costs, identifying opportunities for improvement
Deliver demonstrations, knowledge-sharing sessions and training to support AI adoption across the business
Provide ongoing support and continuous improvement for deployed agents while collaborating with solution architects, developers, business analysts and subject matter experts

Job Requirements:

Practical experience building, configuring or supporting AI agents, copilots, chatbots or automation solutions

Experience with Microsoft Copilot Studio, Microsoft 365 and Azure services
Understanding of prompt engineering and conversational design principles
Strong documentation, communication and stakeholder engagement skills
Ability to gather requirements and work directly with non-technical business users
Experience following structured delivery methodologies and governance processes
Strong analytical and problem-solving abilities, with the capacity to manage multiple priorities
Knowledge of Azure AI Services, Azure OpenAI, REST APIs, system integrations or Microsoft Power Platform would be beneficial

Additional

Skills:

Understanding of data security, compliance and enterprise AI governance
Experience defining development standards, templates or scalable delivery frameworks
Familiarity with Microsoft Dynamics 365
Experience delivering training, mentoring or community engagement activities
Ability to balance technical delivery with stakeholder engagement and clear documentation

What Success Looks Like:

Reliable AI agents are delivered and adopted effectively across the business
Consistent standards, templates and documentation are established
Agent deployment becomes repeatable, supportable and scalable
AI usage, governance and operational costs are effectively managed
Business users feel confident requesting and using AI solutions