AI Agentic Specialist

Baringa is a global consulting firm that partners with leaders to drive change and create value. They are seeking an AI Agentic Specialist to lead the design, build, and enablement of AI agents across the company, combining engineering capabilities with expertise in the Microsoft Power Platform and Copilot Studio.

Responsibilities:

• 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