Baringa - AI Agentic Specialist
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Requirements
• Essential • 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 • Desirable • Experience integrating agents with Azure services or custom APIs • Familiarity with Azure OpenAI, Functions or Logic Apps • Experience with GitHub Copilot • Consulting or professional services experience • What a career at Baringa will give you • Putting People First. • Baringa is a People First company and wellbeing is at the forefront of our culture. We recognise the importance of work-life balance and flexible working and provide our staff amazing benefits. Some of these benefits include: • 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. • Diversity and Inclusion
Responsibilities
• Agent builds and architecture • 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 • Copilot Studio ownership • 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 • Bridging low-code and engineered AI • 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 • Enablement and support • 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 • Training and adoption • 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 • Governance and Responsible AI • Ensure agent solutions align with governance, security and Responsible AI principles • Support safe deployment and ongoing management of AI agents
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