At a Glance
- Tasks: Build and deploy AI agents using Microsoft Copilot Studio and integrate with enterprise systems.
- Company: Join a fast-growing recruitment consulting firm serving top IT clients across the globe.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic work environment with excellent career advancement opportunities.
- Why this job: Be at the forefront of AI technology and make a real impact in innovative projects.
- Qualifications: Experience with Microsoft 365 Copilot, Azure AI services, and strong communication skills.
The predicted salary is between 59400 - 72600 £ per year.
The AI Engineers will be responsible for building, configuring, integrating, and supporting enterprise AI agents and copilots using Microsoft's AI ecosystem.
Key Responsibilities
- Develop and deploy AI agents using Microsoft Copilot Studio.
- Build and maintain enterprise-grade Agentic AI solutions.
- Configure AI orchestration and multi-agent workflows.
- Integrate AI solutions with Workday and enterprise systems.
- Implement MCP and A2A-based communication patterns.
- Build integrations using Microsoft Graph, APIs, connectors, and Azure services.
- Support testing, deployment, monitoring, and optimisation activities.
- Develop reusable AI components and accelerators.
- Assist with customer demonstrations, workshops, and knowledge transfer activities.
- Document solutions and support operational handover.
Required Skills & Experience
Essential
- Hands-on experience with:
- Microsoft 365 Copilot
- Copilot Studio
- Azure AI Services
- Azure OpenAI
- Power Platform
- Proven experience delivering Microsoft Agentic AI implementations.
- Experience developing AI agents and orchestrated workflows.
- Experience integrating solutions with Workday.
- Understanding of:
- MCP (Model Context Protocol)
- A2A (Agent-to-Agent) Protocols
- RAG Architectures
- AI Security and Governance
- Experience working within Agile delivery environments.
- Strong stakeholder communication skills.
Desirable
- Experience with Azure Functions, Logic Apps, and API Management.
- Knowledge of Microsoft Graph and Microsoft 365 ecosystem.
- Banking or regulated industry experience.
- Experience supporting enterprise-scale AI deployments.
Mandatory Candidate Requirements
- Candidates submitted for either role must demonstrate proven experience in:
- Microsoft Agentic AI implementations
- Copilot Studio and AI Agent development
- Microsoft 365 Copilot solutions
- Workday integration and architecture
- Enterprise AI governance and responsible AI frameworks
- Multi-Agent Architecture design and implementation
- MCP (Model Context Protocol) and A2A (Agent-to-Agent) frameworks
- Azure AI and Azure OpenAI services
- Customer-facing engagements and stakeholder workshops
- Knowledge transfer, documentation, and operational handover
Deliverables
- The team will be responsible for delivering:
- Enterprise AI architecture and governance framework
- Microsoft 365 Copilot and Copilot Studio solutions
- Workday-integrated AI agents
- Multi-agent collaboration capabilities
- MCP/A2A-enabled orchestrated AI workflows
- Scalable and secure enterprise AI platform
- Knowledge transfer and operational readiness documentation
AI Engineer employer: Pracyva ltd
Join a forward-thinking company in Warwick, UK, where innovation meets collaboration in the automotive sector. As a Thermal System Engineer, you'll benefit from a dynamic work culture that prioritises employee growth and development, offering opportunities to work on cutting-edge thermal management systems for both ICE and electrified powertrains. With a commitment to excellence and a supportive environment, this role promises meaningful contributions to the future of automotive technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Pracyva ltd!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI Engineer at Pracyva ltd.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Pracyva ltd.
✨Apply Directly through Our Website
When you find a suitable opening like AI Engineer at Pracyva ltd, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Pracyva ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Pracyva ltd. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Pracyva ltd
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Pracyva ltd!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
