At a Glance
- Tasks: Design and build AI agents using Microsoft Power Platform and Copilot Studio.
- Company: Join a forward-thinking tech company focused on innovation and collaboration.
- Benefits: Enjoy 5 weeks of annual leave, flexible working, and a profit share scheme.
- Other info: Be part of a diverse team that values creativity and inclusion.
- Why this job: Lead the future of AI technology and make a real impact in a dynamic environment.
- Qualifications: Strong engineering background with hands-on experience in AI agent development.
The predicted salary is between 60000 - 80000 € per year.
We are looking for an AI Agentic Specialist to lead the design, build, and enablement of AI agents across Baringa. This role combines strong engineering capability with deep expertise in the Microsoft Power Platform, particularly Copilot Studio. You will be a hands‑on expert who builds and administers agents, supports others doing the same, and helps bridge the gap between end‑user‑built agents and more advanced, Azure‑backed solutions.
Key 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
Essential Required skills and experience
- 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
Benefits
- Generous annual leave: 5 weeks, fully available at the start of each year, plus a 5‑Year Recharge benefit adding 2 weeks after 5 years of continuous service.
- Flexible working: hybrid environment, additional flexibility around unpaid leave.
- Corporate responsibility days: 3 days per year for social and environmental causes.
- Wellbeing fund: annual People Fund to support individual wellbeing activities.
- Profit share scheme: all employees participate in the Baringa Group Profit Share Scheme.
We are proud to be an Equal Opportunity Employer. We believe that creating an environment where everyone feels a sense of belonging is central to our culture and that diversity is paramount to driving creativity, innovation, and value for our clients and for our people.
AI Agentic Specialist employer: Baringa
Baringa is an exceptional employer that fosters a culture of innovation and collaboration, particularly for the AI Agentic Specialist role. With generous benefits such as five weeks of annual leave, a profit share scheme, and a strong commitment to employee wellbeing, Baringa prioritises both professional growth and personal fulfilment. The hybrid working environment and focus on corporate responsibility further enhance the appeal of joining a team dedicated to making a meaningful impact in the tech landscape.
StudySmarter Expert Advice🤫
We think this is how you could land AI Agentic Specialist
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repo showcasing your AI agent projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to AI and the Power Platform. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Agentic Specialist
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your engineering background and hands-on experience with the Microsoft Power Platform, especially Copilot Studio. We want to see examples of AI agents you've built, so don’t hold back!
Tailor Your Application:Read through the job description carefully and tailor your application to match the key responsibilities and skills we’re looking for. Use similar language to what we’ve used to show you understand the role.
Be Clear and Concise:When explaining your experience, keep it clear and concise. We appreciate straightforward communication, so avoid jargon unless it’s necessary. Remember, we want to understand your journey and expertise easily!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Baringa
✨Know Your Tech Inside Out
Make sure you’re well-versed in the Microsoft Power Platform and Copilot Studio. Brush up on your engineering skills and be ready to discuss specific projects where you've built AI agents. Having concrete examples will show your hands-on expertise.
✨Understand the Bigger Picture
Familiarise yourself with how AI agents fit into broader workflows. Be prepared to talk about multi-agent orchestration and how different agents can work together. This shows that you can think beyond isolated implementations.
✨Showcase Your Problem-Solving Skills
During the interview, highlight instances where you’ve supported others in building agents or troubleshooting issues. This demonstrates your ability to guide teams and your commitment to enabling others, which is key for this role.
✨Emphasise Governance and Responsible AI
Be ready to discuss how you ensure compliance and security in your agent solutions. Understanding governance principles and being able to articulate them will set you apart as a candidate who prioritises responsible AI practices.
