Design, build, test and implement AI agents using Copilot Studio/Power Platform
Design agent solutions as part of end-to-end workflows, ensuring agents operate cohesively rather than as isolated implementations
Define patterns for multi-agent orchestration, where specialised agents collaborate to deliver outcomes across workflows
Define when to use low-code agent approaches versus engineered solutions
Integrate agents with Microsoft 365, Dataverse, APIs and Azure services
Maintain agent quality, performance, security and compliance
Act as the firm’s Copilot Studio subject matter expert
Establish best practices, patterns and guardrails for agent development
Support troubleshooting, configuration and lifecycle management of agents
Establish reusable patterns for agent composition, enabling consistent behaviour and interoperability across multiple agents
Work with engineers to connect Copilot Studio agents to Azure-hosted services
Support the progression from prototype agents to scalable enterprise solutions
Advise on trade-offs between Copilot Studio, Azure Foundry and custom agent builds
Support the evolution from single-agent solutions to orchestrated, multi-agent architectures integrated across enterprise workflows
Be a go-to expert for AI and agent build questions
Support colleagues building agents through reviews, guidance and problem-solving
Provide expertise on Copilot, Copilot Studio and GitHub Copilot (if required)
Guide teams to design agent solutions that align to broader workflow and experience patterns, avoiding fragmentation and duplication
Deliver training, workshops and hands-on sessions when required
Create practical guidance to improve the quality of agent builds
Support adoption of AI tooling across technical and non-technical users
Ensure agent solutions align with governance, security and Responsible AI principles
Support safe deployment and ongoing management of AI agents.
Requirements
Strong engineering or developer background
Deep, hands-on experience with the Microsoft Power Platform, especially Copilot Studio
Proven experience building AI agents, with examples to showcase
Experience administering and supporting agent solutions
Strong understanding of agent behaviour, orchestration, and AI limitations
Ability to explain complex concepts clearly and practically
Experience training or enabling others.
Tech Stack
Azure
Benefits
Generous Annual Leave Policy: We recognise everyone needs a well-deserved break. We provide our employees with 5 weeks of annual leave, fully available at the start of each year. In addition to this, we have introduced our 5-Year Recharge benefit which allows all employees an additional 2 weeks of paid leave after 5 years continuous service.
Flexible Working: We know that the ‘ideal’ work-life balance will vary from person to person and change at different stages of our working lives. To accommodate this, we have implemented a hybrid working policy and introduced more flexibility around taking unpaid leave.
Corporate Responsibility Days: Our world is important to us, so all our employees get 3 every year to help social and environmental causes and increase our impact on the communities that mean the most to us.
Wellbeing Fund: We want to encourage all employees to take charge and prioritise their own wellbeing. We’ve introduced our annual People Fund to support this by offering every individual a fund to support and manage their wellbeing through an activity of their choice.
Profit Share Scheme: All employees participate in the Baringa Group Profit Share Scheme so everyone has a stake in the company’s success.